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Most recent job postings at University of Oslo
via Legejobber.no
posted_at: 2 days agoschedule_type: Full-time
Om stillingen
Dette er en full stilling som førsteamanuensis/professor i medisin ved Avdeling for atferdsmedisin, Institutt for medisinske basalfag, UiO. Stillingen kan etter avtale kombineres med 20%-40% klinisk stilling. Arbeidsted er Domus Medica, Sognsvannsveien 9, Oslo.
Stillingen er tilknyttet Avdeling for atferdsmedisin, som driver forskning og utdanning i skjæringspunktet mellom medisin, psykologi, samfunnsvitenskap og utdanningsvitenskap,
Om stillingen
Dette er en full stilling som førsteamanuensis/professor i medisin ved Avdeling for atferdsmedisin, Institutt for medisinske basalfag, UiO. Stillingen kan etter avtale kombineres med 20%-40% klinisk stilling. Arbeidsted er Domus Medica, Sognsvannsveien 9, Oslo.
Stillingen er tilknyttet Avdeling for atferdsmedisin, som driver forskning og utdanning i skjæringspunktet mellom medisin, psykologi, samfunnsvitenskap og utdanningsvitenskap, med hovedfokus på menneskelige faktorer i medisin og helse.
Vi har fem forskningsgrupper: (1) arbeid, trivsel og psykisk helse blant helsepersonell, (2) biopsykososiale faktorer ved somatiske sykdommer, (3) psykoonkologi og klinisk kommunikasjon, (4) psykologiske og fysiologiske mekanismer for belønningsvurdering og (5) medisinsk utdanning.
Avdelingen er ansvarlig for fagområdet atferdsmedisin i profesjonsutdanningen i medisin. En stor del av undervisningen er knyttet til smågruppeundervisning i klinisk kommunikasjon, og stillingen... forutsetter klinisk erfaring som lege.
Forskning og undervisning utgjør hhv. 45 % av stillingen, mens 10 % er beregnet til administrative oppgaver.
Kvalifikasjonskrav
• Doktorgrad innen relevant område.
• Autorisasjon som lege, med relevant klinisk erfaring. Spesialistgodkjenning vektlegges.
• Høy kvalitet på forskning og publisering i internasjonale fagfellevurderte kanaler.
• Dokumentert evne til å initiere, finansiere og gjennomføre forsknings- og utviklingsprosjekter
• Det legges vekt på at kandidaten er tidlig i det akademiske karriereløpet, med pågående forskningsaktivitet og selvstendig forskningsprofil innen fagområdet.
• Flytende skriftlig og muntlig fremstillingsevne på norsk eller annet skandinavisk språk.
• Dokumentert universitetspedagogisk basiskompetanse. Dette kravet kan i særlige tilfeller fravikes, men må da oppfylles innen to år fra tiltredelse.
• Dokumenterte kvalifikasjoner innenfor formidling, administrasjon og ledelse vil telle positivt.
Personlige egenskaper
• Personlig egnethet og miljøskapende evne tillegges stor vekt.
Vi tilbyr
• Lønn fra kr. 689 600 til kr. 814 900 avhengig av kompetanse, i stilling som førsteamanuensis (stillingskode 1011)
• Lønn fra kr. 888 200 til kr. 1 024 100 avhengig av kompetanse, i stilling som professor (stillingskode 1013)
• Gode pensjonsordninger
• Gode velferdsordninger
• Førsteamanuensis vil ha mulighet til å søke opprykk til professor på et senere tidspunkt
Søknaden skal inneholde
• Søknadsbrev
• CV
• Fullstendig publikasjonsliste
• Pedagogisk mappe på 3-6 sider som dokumenter utdanningsfaglig kompetanse og erfaring, inkludert et refleksjonsnotat der egen praksis og læringssyn forankres i SoTL-kriteriene (fokus på studentenes læring, utvikling over tid, en forskende tilnærming og en kollegial holdning og praksis)
• Beskrivelse av kvalifikasjoner innen formidling, administrasjon og ledelse
• Vitnemål og attester
• Akademiske arbeider (inntil 10 publikasjoner) og en kort redegjørelse for disse
• Referanser (liste med 2-3 personer med navn, tittel, e-post og telefonnummer)
Søknad med vedlegg må sendes inn via vårt elektroniske rekrutteringssystem. Vi gjør oppmerksom på at all dokumentasjon må være på engelsk eller et skandinavisk språk.
Det skal benyttes intervju og prøveundervisning i tilsettingsprosessen. I rangeringen av kompetente søkere vurderes hele bredden av kvalifikasjoner.
Andre opplysninger
Vennligst se Regler for tilsetting i professorater og førsteamanuensisstillinger ved UiO og
Regler for praktiseringen av kravet om pedagogisk basiskompetanse ved UiO
I henhold til Offentleglovas § 25 2. ledd kan opplysninger om søkeren bli offentliggjort selv om søkeren har anmodet om ikke å bli oppført på søkerlisten.
UiO har en overtakelsesavtale for alle tilsatte med formål å sikre rettighetene til forskningsresultater m.m.
Inkludering og mangfold er en styrke. UiO har et personalpolitisk mål om å oppnå en balansert kjønnssammensetning og rekruttere personer med innvandrerbakgrunn. Videre ønsker vi medarbeidere med ulike kompetanser, fagkombinasjoner, livserfaring og perspektiver. Vi vil tilrettelegge for medarbeidere som har behov for det.
Dersom det er kvalifiserte søkere med funksjonsnedsettelse, hull i CV-en eller innvandrerbakgrunn, skal vi innkalle minst én søker i hver av disse gruppene til intervju.
Om Universitetet i Oslo
Universitetet i Oslo er Norges eldste og høyest rangerte forsknings- og utdanningsinstitusjon med 28 000 studenter og 7 500 ansatte. Faglig bredde og internasjonalt anerkjente forskningsmiljøer gjør UiO til en viktig samfunnsaktør.
Institutt for medisinske basalfag arbeider for å øke basalmedisinsk kunnskap slik at vi kan forstå normale prosesser, gi innsikt i mekanismer som forårsaker sykdom, og fremme god helse. Instituttet er ansvarlig for basalfagene i profesjonsutdanningen i medisin og for masterutdanningen i klinisk ernæring, og har i overkant av 300 ansatte i vitenskapelige, tekniske og administrative stillinger Show more details...
Dette er en full stilling som førsteamanuensis/professor i medisin ved Avdeling for atferdsmedisin, Institutt for medisinske basalfag, UiO. Stillingen kan etter avtale kombineres med 20%-40% klinisk stilling. Arbeidsted er Domus Medica, Sognsvannsveien 9, Oslo.
Stillingen er tilknyttet Avdeling for atferdsmedisin, som driver forskning og utdanning i skjæringspunktet mellom medisin, psykologi, samfunnsvitenskap og utdanningsvitenskap, med hovedfokus på menneskelige faktorer i medisin og helse.
Vi har fem forskningsgrupper: (1) arbeid, trivsel og psykisk helse blant helsepersonell, (2) biopsykososiale faktorer ved somatiske sykdommer, (3) psykoonkologi og klinisk kommunikasjon, (4) psykologiske og fysiologiske mekanismer for belønningsvurdering og (5) medisinsk utdanning.
Avdelingen er ansvarlig for fagområdet atferdsmedisin i profesjonsutdanningen i medisin. En stor del av undervisningen er knyttet til smågruppeundervisning i klinisk kommunikasjon, og stillingen... forutsetter klinisk erfaring som lege.
Forskning og undervisning utgjør hhv. 45 % av stillingen, mens 10 % er beregnet til administrative oppgaver.
Kvalifikasjonskrav
• Doktorgrad innen relevant område.
• Autorisasjon som lege, med relevant klinisk erfaring. Spesialistgodkjenning vektlegges.
• Høy kvalitet på forskning og publisering i internasjonale fagfellevurderte kanaler.
• Dokumentert evne til å initiere, finansiere og gjennomføre forsknings- og utviklingsprosjekter
• Det legges vekt på at kandidaten er tidlig i det akademiske karriereløpet, med pågående forskningsaktivitet og selvstendig forskningsprofil innen fagområdet.
• Flytende skriftlig og muntlig fremstillingsevne på norsk eller annet skandinavisk språk.
• Dokumentert universitetspedagogisk basiskompetanse. Dette kravet kan i særlige tilfeller fravikes, men må da oppfylles innen to år fra tiltredelse.
• Dokumenterte kvalifikasjoner innenfor formidling, administrasjon og ledelse vil telle positivt.
Personlige egenskaper
• Personlig egnethet og miljøskapende evne tillegges stor vekt.
Vi tilbyr
• Lønn fra kr. 689 600 til kr. 814 900 avhengig av kompetanse, i stilling som førsteamanuensis (stillingskode 1011)
• Lønn fra kr. 888 200 til kr. 1 024 100 avhengig av kompetanse, i stilling som professor (stillingskode 1013)
• Gode pensjonsordninger
• Gode velferdsordninger
• Førsteamanuensis vil ha mulighet til å søke opprykk til professor på et senere tidspunkt
Søknaden skal inneholde
• Søknadsbrev
• CV
• Fullstendig publikasjonsliste
• Pedagogisk mappe på 3-6 sider som dokumenter utdanningsfaglig kompetanse og erfaring, inkludert et refleksjonsnotat der egen praksis og læringssyn forankres i SoTL-kriteriene (fokus på studentenes læring, utvikling over tid, en forskende tilnærming og en kollegial holdning og praksis)
• Beskrivelse av kvalifikasjoner innen formidling, administrasjon og ledelse
• Vitnemål og attester
• Akademiske arbeider (inntil 10 publikasjoner) og en kort redegjørelse for disse
• Referanser (liste med 2-3 personer med navn, tittel, e-post og telefonnummer)
Søknad med vedlegg må sendes inn via vårt elektroniske rekrutteringssystem. Vi gjør oppmerksom på at all dokumentasjon må være på engelsk eller et skandinavisk språk.
Det skal benyttes intervju og prøveundervisning i tilsettingsprosessen. I rangeringen av kompetente søkere vurderes hele bredden av kvalifikasjoner.
Andre opplysninger
Vennligst se Regler for tilsetting i professorater og førsteamanuensisstillinger ved UiO og
Regler for praktiseringen av kravet om pedagogisk basiskompetanse ved UiO
I henhold til Offentleglovas § 25 2. ledd kan opplysninger om søkeren bli offentliggjort selv om søkeren har anmodet om ikke å bli oppført på søkerlisten.
UiO har en overtakelsesavtale for alle tilsatte med formål å sikre rettighetene til forskningsresultater m.m.
Inkludering og mangfold er en styrke. UiO har et personalpolitisk mål om å oppnå en balansert kjønnssammensetning og rekruttere personer med innvandrerbakgrunn. Videre ønsker vi medarbeidere med ulike kompetanser, fagkombinasjoner, livserfaring og perspektiver. Vi vil tilrettelegge for medarbeidere som har behov for det.
Dersom det er kvalifiserte søkere med funksjonsnedsettelse, hull i CV-en eller innvandrerbakgrunn, skal vi innkalle minst én søker i hver av disse gruppene til intervju.
Om Universitetet i Oslo
Universitetet i Oslo er Norges eldste og høyest rangerte forsknings- og utdanningsinstitusjon med 28 000 studenter og 7 500 ansatte. Faglig bredde og internasjonalt anerkjente forskningsmiljøer gjør UiO til en viktig samfunnsaktør.
Institutt for medisinske basalfag arbeider for å øke basalmedisinsk kunnskap slik at vi kan forstå normale prosesser, gi innsikt i mekanismer som forårsaker sykdom, og fremme god helse. Instituttet er ansvarlig for basalfagene i profesjonsutdanningen i medisin og for masterutdanningen i klinisk ernæring, og har i overkant av 300 ansatte i vitenskapelige, tekniske og administrative stillinger Show more details...
via Indeed
posted_at: 3 days agoschedule_type: Full-time
Job description
A postdoctoral fellowship is available at the PROMENTA Research Center, Section for Health, Developmental and Personality Psychology, Department of Psychology, University of Oslo. The postdoctoral fellow will be working in the project The PsychoGeography of Intergenerational Mobility: Early life socioeconomic position, mental health, and educational performance (GeoGen) funded by the European Research Council (ERC). GeoGen is an interdisciplinary
Job description
A postdoctoral fellowship is available at the PROMENTA Research Center, Section for Health, Developmental and Personality Psychology, Department of Psychology, University of Oslo. The postdoctoral fellow will be working in the project The PsychoGeography of Intergenerational Mobility: Early life socioeconomic position, mental health, and educational performance (GeoGen) funded by the European Research Council (ERC). GeoGen is an interdisciplinary project integrating genetic and social science approaches to study geographical variation in factors for mental health, non-cognitive skills, and educational performance.
Colourbox
More about the project
The postdoctoral fellowship is directed at rendering a new understanding of (a) how education and mental health is transmitted across generations, (b) how early mental ill-health predict academic failure, (c) the interactions between genetic risk and protective contextual school and neighbourhood factors, and (d... characteristics of schools and neighbourhoods that are optimal for children’s psychological development.
GeoGen will use Norway since 1905 as a laboratory (n=8 400 000) with registries giving full genealogy and year-by-year event data on place of residence, indicators of socioeconomic status (SES), mental health, non-cognitive skills, and educational performance. GeoGen combines this with a population-based cohort study comprising genotyping of families (n=240 000 in 110 000 families) and a wide array of survey data. An approach combining temporal, spatial, social, genetic, and individual levels of inference will allow the postdoctoral fellow to do novel studies on the gene-environment interplay between risk and protective factors for mental health, non-cognitive skills, and academic outcomes.
The PROMENTA Research Center carries out interdisciplinary research on mental health and well-being in a holistic perspective - from genetics and biology to local communities and policy. We are concerned with examining determinants of good and poor mental health, understanding how social inequalities emerge, and designing and evaluating effective interventions to promote well-being.
We strive to provide our candidates with opportunities to develop high-quality research competence, across disciplines, working alongside leading experts in our fields. While working for us, you will be part of a dynamic and interdisciplinary work environment, with ample opportunities for scientific and social input throughout the academic year. This includes training in both social science and genetic methods, and the possibility teaching and educational courses.
The PROMENTA Research Center with more than 50 scientific staff is funded by the Research Council of Norway, and hosted by the Department of Psychology, University of Oslo (UiO). Read more about working at PROMENTA.
More about the position
The project is based in the neighbourhood genetics workgroup at PROMENTA lead by Professor Eivind Ystrøm. The goal of the genetics workgroup is to study the interplay between genetic and contextual factors in families, schools, and wider contexts by integrating genotyped family trios into population-based registries on family structure, residence, schools, health, and education.
The postdoctoral fellow will be working with GeoGen Team members from Sociology, Psychology, and Educational Sciences
The appointment is a fulltime position for a period of three years. A fourth year can be considered with the addition of 25 % teaching duties, usually in the form of teaching activities, depending on the competence of the applicant and the needs of the department.
The fellowships are planned to begin in the second quarter of 2023.
For more information about the positions please see contact information below
Qualification requirements
The applicant must have submitted their PhD thesis for evaluation by the closing date and be approved by the time the appointing authority reach a decision. The PhD degree or equivalent should be in in psychology, genetics, sociology, epidemiology, economics, or other related fields.
Publication record on molecular genetic factors for mental health and educational outcomes.
Skills in molecular genetic data analyses such as polygenic scores and Genome-Wide Association Studies (GWAS).
Computing skills in R, mixed models, polygenic risk score software, and GWAS analyses.
Proficient oral and written communication skills in English.
Plans for excellent research within the project, as evidenced by the required one-page letter of application, explaining the motivation for applying and how own qualifications are suitable for the announced position.
Strong interest in the potential of integrating social science and genetics. Enjoys working within an interdisciplinary team.
Personal Suitability.
We offer
A salary of NOK 573 900- 661 400 per annum depending on qualifications.
A professionally stimulating work environment and collaboration with a newly established research center (PROMENTA) at the Department of Psychology.
Opportunities for extensive collaboration with our national and international collaborators.
Attractive pension and social welfare benefits.
Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities. An opportunity to build a career in social science genomics
How to apply
The application must include
Motivation letter (maximum 1 page) Complete CV
Certified copies of academic diplomas and certificates. (i.e. Diploma, transcript. Diploma supplement for both bachelor and master and PhD courses). Diplomas, transcripts and diploma supplements that are not in a Scandinavian language or English must be uploaded in the original language. An English translation of these documents must also be attached.
Copies of any publications that the applicant wishes to be considered by the evaluation committee.
Names and contact details for two references. One of them must be a PhD supervisor. Also preferably including the supervisors on master thesis.
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, and the quality of the project as well as the candidates motivation and personal suitability.
Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
This is a project funded by the research council of Norway and applicants with a previous postdoctoral fellowship funded by the research council cannot be appointed for this position
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Diversity and gender equality
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
The Department of Psychology shall work actively for equality, ensure equal opportunities and rights, and prevent discrimination. See the Gender equality initiative at UiO as well as the Action plan for gender equality, diversity and inclusion at the Department of Psychology 2022-2025 (in Norwegian).
If there are qualified applicants with special needs, gaps in their CVs or immigrant backgrounds, we will invite at least one applicant in each of these groups to an interview.
Contact information
All e-mails must have the term “GeoGenPostDoc” included in the subject line or text.
Project manager Eivind Ystrøm, e-mail: eivind.ystrom@psykologi.uio.no
Administrative coordinator at Promenta Maria Vinje Dodson, e-mail: m.v.dodson@psykologi.uio.no
Senior HR officer Joan García Castán: e-mail: joan.garcia@psykologi.uio.no for questions regarding the electronic application
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Department of Psychology is one of seven units of the Faculty of Social Sciences, and has 75 permanent and 70 temporary members of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the PhD programme has 140 students Show more details...
A postdoctoral fellowship is available at the PROMENTA Research Center, Section for Health, Developmental and Personality Psychology, Department of Psychology, University of Oslo. The postdoctoral fellow will be working in the project The PsychoGeography of Intergenerational Mobility: Early life socioeconomic position, mental health, and educational performance (GeoGen) funded by the European Research Council (ERC). GeoGen is an interdisciplinary project integrating genetic and social science approaches to study geographical variation in factors for mental health, non-cognitive skills, and educational performance.
Colourbox
More about the project
The postdoctoral fellowship is directed at rendering a new understanding of (a) how education and mental health is transmitted across generations, (b) how early mental ill-health predict academic failure, (c) the interactions between genetic risk and protective contextual school and neighbourhood factors, and (d... characteristics of schools and neighbourhoods that are optimal for children’s psychological development.
GeoGen will use Norway since 1905 as a laboratory (n=8 400 000) with registries giving full genealogy and year-by-year event data on place of residence, indicators of socioeconomic status (SES), mental health, non-cognitive skills, and educational performance. GeoGen combines this with a population-based cohort study comprising genotyping of families (n=240 000 in 110 000 families) and a wide array of survey data. An approach combining temporal, spatial, social, genetic, and individual levels of inference will allow the postdoctoral fellow to do novel studies on the gene-environment interplay between risk and protective factors for mental health, non-cognitive skills, and academic outcomes.
The PROMENTA Research Center carries out interdisciplinary research on mental health and well-being in a holistic perspective - from genetics and biology to local communities and policy. We are concerned with examining determinants of good and poor mental health, understanding how social inequalities emerge, and designing and evaluating effective interventions to promote well-being.
We strive to provide our candidates with opportunities to develop high-quality research competence, across disciplines, working alongside leading experts in our fields. While working for us, you will be part of a dynamic and interdisciplinary work environment, with ample opportunities for scientific and social input throughout the academic year. This includes training in both social science and genetic methods, and the possibility teaching and educational courses.
The PROMENTA Research Center with more than 50 scientific staff is funded by the Research Council of Norway, and hosted by the Department of Psychology, University of Oslo (UiO). Read more about working at PROMENTA.
More about the position
The project is based in the neighbourhood genetics workgroup at PROMENTA lead by Professor Eivind Ystrøm. The goal of the genetics workgroup is to study the interplay between genetic and contextual factors in families, schools, and wider contexts by integrating genotyped family trios into population-based registries on family structure, residence, schools, health, and education.
The postdoctoral fellow will be working with GeoGen Team members from Sociology, Psychology, and Educational Sciences
The appointment is a fulltime position for a period of three years. A fourth year can be considered with the addition of 25 % teaching duties, usually in the form of teaching activities, depending on the competence of the applicant and the needs of the department.
The fellowships are planned to begin in the second quarter of 2023.
For more information about the positions please see contact information below
Qualification requirements
The applicant must have submitted their PhD thesis for evaluation by the closing date and be approved by the time the appointing authority reach a decision. The PhD degree or equivalent should be in in psychology, genetics, sociology, epidemiology, economics, or other related fields.
Publication record on molecular genetic factors for mental health and educational outcomes.
Skills in molecular genetic data analyses such as polygenic scores and Genome-Wide Association Studies (GWAS).
Computing skills in R, mixed models, polygenic risk score software, and GWAS analyses.
Proficient oral and written communication skills in English.
Plans for excellent research within the project, as evidenced by the required one-page letter of application, explaining the motivation for applying and how own qualifications are suitable for the announced position.
Strong interest in the potential of integrating social science and genetics. Enjoys working within an interdisciplinary team.
Personal Suitability.
We offer
A salary of NOK 573 900- 661 400 per annum depending on qualifications.
A professionally stimulating work environment and collaboration with a newly established research center (PROMENTA) at the Department of Psychology.
Opportunities for extensive collaboration with our national and international collaborators.
Attractive pension and social welfare benefits.
Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities. An opportunity to build a career in social science genomics
How to apply
The application must include
Motivation letter (maximum 1 page) Complete CV
Certified copies of academic diplomas and certificates. (i.e. Diploma, transcript. Diploma supplement for both bachelor and master and PhD courses). Diplomas, transcripts and diploma supplements that are not in a Scandinavian language or English must be uploaded in the original language. An English translation of these documents must also be attached.
Copies of any publications that the applicant wishes to be considered by the evaluation committee.
Names and contact details for two references. One of them must be a PhD supervisor. Also preferably including the supervisors on master thesis.
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, and the quality of the project as well as the candidates motivation and personal suitability.
Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
This is a project funded by the research council of Norway and applicants with a previous postdoctoral fellowship funded by the research council cannot be appointed for this position
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Diversity and gender equality
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
The Department of Psychology shall work actively for equality, ensure equal opportunities and rights, and prevent discrimination. See the Gender equality initiative at UiO as well as the Action plan for gender equality, diversity and inclusion at the Department of Psychology 2022-2025 (in Norwegian).
If there are qualified applicants with special needs, gaps in their CVs or immigrant backgrounds, we will invite at least one applicant in each of these groups to an interview.
Contact information
All e-mails must have the term “GeoGenPostDoc” included in the subject line or text.
Project manager Eivind Ystrøm, e-mail: eivind.ystrom@psykologi.uio.no
Administrative coordinator at Promenta Maria Vinje Dodson, e-mail: m.v.dodson@psykologi.uio.no
Senior HR officer Joan García Castán: e-mail: joan.garcia@psykologi.uio.no for questions regarding the electronic application
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Department of Psychology is one of seven units of the Faculty of Social Sciences, and has 75 permanent and 70 temporary members of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the PhD programme has 140 students Show more details...
via Indeed
posted_at: 25 days agoschedule_type: Full-time
Job description
A full-time position as Associate Professor is available in the Section for Partial Differential Equations and Computational Mathematics at the Department of Mathematics.
The section seeks a dedicated and innovative researcher who meets the required qualifications for an associate professorship. We are looking for active researchers working in Partial Differential Equations (PDEs) or Computational Mathematics, in particular in the
Job description
A full-time position as Associate Professor is available in the Section for Partial Differential Equations and Computational Mathematics at the Department of Mathematics.
The section seeks a dedicated and innovative researcher who meets the required qualifications for an associate professorship. We are looking for active researchers working in Partial Differential Equations (PDEs) or Computational Mathematics, in particular in the fields of nonlinear PDEs, including analysis of numerical methods, geometric modeling, numerical analysis, optimization and combinatorics/matrix theory.
The section for PDEs and Computational Mathematics is known for its extensive research activities, which include the analysis of PDEs (including nonlinear wave equations, conservation laws, stochastic PDEs, uncertainty quantification), analysis and construction of numerical methods for PDEs, geometric modeling, combinatorics/matrix theory and machine learning. Currently the section has... eight full-time academic positions, four postdocs and three PhD students. The section aims at maintaining and strengthening collaborations with leading researchers outside the department, both nationally and internationally.
The Associate Professor is expected to actively take part in the Section for PDEs and Computational Mathematics and the Department of Mathematics in general. Applicants must document academic qualifications in their field, equivalent to an Associate Professor position. We expect the successful candidate to have a broad scientific network and be able to initiate and lead research projects, and apply for external funding. The successful applicant must be able to teach mathematics at all levels and to supervise Master and PhD students. The successful applicant may furthermore be required to take on other teaching duties and administrative tasks, by request from the Department of Mathematics.
General information about the position:
Applicants must document academic qualifications in their field, equivalent to an Associate Professor position. The successful applicant must be able to teach at all levels and to supervise Master and PhD students.
The successful applicant may furthermore be required to take on other teaching duties and administrative tasks, by request from the Department of Mathematics.
Qualification requirements
The successful applicant must have completed a PhD in Mathematics and have a strong scientific track record within the subjects mentioned above.
A requirement is considerable scientific production beyond what is required for a doctoral degree.
Scientific qualifications will play a major role, and the main emphasis will be on the candidate’s scientific production from the last five years.
Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his qualifications in view of the Scholarship of Teaching and Learning (SoTL) framework which includes:
Focus on student learning
A clear development over time
A researching approach
A collegial attitude and practice
The successful applicant must have fluent oral and written communication skills in both in a Scandinavian language and in English.
The successful candidate who at the time of appointment cannot document sufficient teaching qualifications (minimum formal requirement is a 200 hrs pedagogical programme) will be required to obtain such qualifications within a two-year period.
The successful candidate must demonstrate mastery of both English and one of the Scandinavian languages as working languages. If an appointee is not fluent in a Scandinavian language, the appointee will be required to learn sufficient Norwegian within a two-year period, to be able to participate actively in all functions the position may involve.
Desirable qualifications:
Candidates should be able to establish, lead and conduct research projects, also as a collaborator. A track record in scientific and administrative leadership is an advantage, as well as participation in the acquisition of research grants.
International network, outreach activities, collegiality, and the ability to create a good working environment will be part of the evaluation.
The person appointed will be requested to take on some administrative duties. Hence such experience will be an advantage.
Personal qualities:
Ability to create and contribute to a well-functioning, inclusive and productive research environment
Networking skills, ability to collaborate and conduct scientific leadership
Ability to cooperate and communicate well with other members of staff
The successful candidate should have an international profile with respect to the above criteria. The candidate for this position will be selected based on scientific excellence and fit with the section’s research profile, and with significant emphasis on their educational qualifications and potential for teaching.
We offer
Salary NOK 661 400 - 728 100 depending on qualifications, in the position of Associate Professor (position code 1011).
A professionally stimulating work environment.
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.
The Associate Professor will have the opportunity to apply for promotion to a full professorship at a later stage.
How to apply
The application must include:
Application letter.
A research position paper (1–4 pages) describing the applicant’s vision and scientific ambitions for the nearest future.
A detailed CV, including a complete list of education, positions, pedagogical experience, administrative experience, project acquisition and coordination experience, and other qualifying activities.
Copies of educational certificates, PhD diploma, transcript of records and letters of recommendation.
A complete list of publications and academic merits and awards (if not included in the CV).
Full text of up to 10 selected scientific publications the applicant wishes to include in the evaluation.
A document discussing the importance, interrelation, and relevance of the selected papers for this position.
Educational portfolio of 3–6 pages documenting educational competence and experience, including a reflection note in which your own teaching practice and view of learning is anchored in the SoTL framework (focus on student learning, development over time, a researching approach and a collegial attitude and practice).
List of reference persons: 2–3 references (name, relation to candidate, e-mail and phone number).
Application with attachments must be submitted via our online recruitment system, please follow the link “apply for this job”. Please note that all documentation must be in English or a Scandinavian language.
Formal regulations
As a general rule an interview will be used in the appointment process, usually supplemented with a trial teaching session. The basis for assessment will be the scientific production of the applicant, the teaching portfolio, pedagogical and educational qualifications, the applicant’s qualifications within leadership and administration, other qualifications as well as general personal suitability for the position. In ranking the competent applicants, the full range of qualifications will be considered and explicitly assessed.
Rules for appointments to associate professorships:
https://www.uio.no/english/about/regulations/personnel/academic/rules-appointment-professor.html
Rules for the assessment and weighting of pedagogical competence for appointments to permanent academic posts which include teaching duties:
https://www.uio.no/english/about/regulations/personnel/academic/rules-basic-pedagogical-competence.html
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. Women are encouraged to apply.
Pursuant to section 25(2) of the Freedom of Information Act, information concerning the applicant may be made public, even if the applicant has requested not to appear on the list of applicants.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
In addition, the University of Oslo aims for its employees to reflect the diversity of the population to the greatest degree possible. We therefore encourage qualified applicants with disabilities or gaps in their CV to apply for the position. The University of Oslo will adapt the workplace to suit employees with disabilities. Applicants who indicate that they have disabilities or gaps in their CV are made aware that this information may be used for statistical purposes.
Contact information
Professor Nils Henrik Risebro, phone: +47 22 85 59 88; e-mail: nilshr@math.uio.no or
Professor Kenneth Hvistendahl Karlsen, e-mail: kennethk@math.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad, e-mail: ole.rustad@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.
We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile Show more details...
A full-time position as Associate Professor is available in the Section for Partial Differential Equations and Computational Mathematics at the Department of Mathematics.
The section seeks a dedicated and innovative researcher who meets the required qualifications for an associate professorship. We are looking for active researchers working in Partial Differential Equations (PDEs) or Computational Mathematics, in particular in the fields of nonlinear PDEs, including analysis of numerical methods, geometric modeling, numerical analysis, optimization and combinatorics/matrix theory.
The section for PDEs and Computational Mathematics is known for its extensive research activities, which include the analysis of PDEs (including nonlinear wave equations, conservation laws, stochastic PDEs, uncertainty quantification), analysis and construction of numerical methods for PDEs, geometric modeling, combinatorics/matrix theory and machine learning. Currently the section has... eight full-time academic positions, four postdocs and three PhD students. The section aims at maintaining and strengthening collaborations with leading researchers outside the department, both nationally and internationally.
The Associate Professor is expected to actively take part in the Section for PDEs and Computational Mathematics and the Department of Mathematics in general. Applicants must document academic qualifications in their field, equivalent to an Associate Professor position. We expect the successful candidate to have a broad scientific network and be able to initiate and lead research projects, and apply for external funding. The successful applicant must be able to teach mathematics at all levels and to supervise Master and PhD students. The successful applicant may furthermore be required to take on other teaching duties and administrative tasks, by request from the Department of Mathematics.
General information about the position:
Applicants must document academic qualifications in their field, equivalent to an Associate Professor position. The successful applicant must be able to teach at all levels and to supervise Master and PhD students.
The successful applicant may furthermore be required to take on other teaching duties and administrative tasks, by request from the Department of Mathematics.
Qualification requirements
The successful applicant must have completed a PhD in Mathematics and have a strong scientific track record within the subjects mentioned above.
A requirement is considerable scientific production beyond what is required for a doctoral degree.
Scientific qualifications will play a major role, and the main emphasis will be on the candidate’s scientific production from the last five years.
Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his qualifications in view of the Scholarship of Teaching and Learning (SoTL) framework which includes:
Focus on student learning
A clear development over time
A researching approach
A collegial attitude and practice
The successful applicant must have fluent oral and written communication skills in both in a Scandinavian language and in English.
The successful candidate who at the time of appointment cannot document sufficient teaching qualifications (minimum formal requirement is a 200 hrs pedagogical programme) will be required to obtain such qualifications within a two-year period.
The successful candidate must demonstrate mastery of both English and one of the Scandinavian languages as working languages. If an appointee is not fluent in a Scandinavian language, the appointee will be required to learn sufficient Norwegian within a two-year period, to be able to participate actively in all functions the position may involve.
Desirable qualifications:
Candidates should be able to establish, lead and conduct research projects, also as a collaborator. A track record in scientific and administrative leadership is an advantage, as well as participation in the acquisition of research grants.
International network, outreach activities, collegiality, and the ability to create a good working environment will be part of the evaluation.
The person appointed will be requested to take on some administrative duties. Hence such experience will be an advantage.
Personal qualities:
Ability to create and contribute to a well-functioning, inclusive and productive research environment
Networking skills, ability to collaborate and conduct scientific leadership
Ability to cooperate and communicate well with other members of staff
The successful candidate should have an international profile with respect to the above criteria. The candidate for this position will be selected based on scientific excellence and fit with the section’s research profile, and with significant emphasis on their educational qualifications and potential for teaching.
We offer
Salary NOK 661 400 - 728 100 depending on qualifications, in the position of Associate Professor (position code 1011).
A professionally stimulating work environment.
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.
The Associate Professor will have the opportunity to apply for promotion to a full professorship at a later stage.
How to apply
The application must include:
Application letter.
A research position paper (1–4 pages) describing the applicant’s vision and scientific ambitions for the nearest future.
A detailed CV, including a complete list of education, positions, pedagogical experience, administrative experience, project acquisition and coordination experience, and other qualifying activities.
Copies of educational certificates, PhD diploma, transcript of records and letters of recommendation.
A complete list of publications and academic merits and awards (if not included in the CV).
Full text of up to 10 selected scientific publications the applicant wishes to include in the evaluation.
A document discussing the importance, interrelation, and relevance of the selected papers for this position.
Educational portfolio of 3–6 pages documenting educational competence and experience, including a reflection note in which your own teaching practice and view of learning is anchored in the SoTL framework (focus on student learning, development over time, a researching approach and a collegial attitude and practice).
List of reference persons: 2–3 references (name, relation to candidate, e-mail and phone number).
Application with attachments must be submitted via our online recruitment system, please follow the link “apply for this job”. Please note that all documentation must be in English or a Scandinavian language.
Formal regulations
As a general rule an interview will be used in the appointment process, usually supplemented with a trial teaching session. The basis for assessment will be the scientific production of the applicant, the teaching portfolio, pedagogical and educational qualifications, the applicant’s qualifications within leadership and administration, other qualifications as well as general personal suitability for the position. In ranking the competent applicants, the full range of qualifications will be considered and explicitly assessed.
Rules for appointments to associate professorships:
https://www.uio.no/english/about/regulations/personnel/academic/rules-appointment-professor.html
Rules for the assessment and weighting of pedagogical competence for appointments to permanent academic posts which include teaching duties:
https://www.uio.no/english/about/regulations/personnel/academic/rules-basic-pedagogical-competence.html
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. Women are encouraged to apply.
Pursuant to section 25(2) of the Freedom of Information Act, information concerning the applicant may be made public, even if the applicant has requested not to appear on the list of applicants.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
In addition, the University of Oslo aims for its employees to reflect the diversity of the population to the greatest degree possible. We therefore encourage qualified applicants with disabilities or gaps in their CV to apply for the position. The University of Oslo will adapt the workplace to suit employees with disabilities. Applicants who indicate that they have disabilities or gaps in their CV are made aware that this information may be used for statistical purposes.
Contact information
Professor Nils Henrik Risebro, phone: +47 22 85 59 88; e-mail: nilshr@math.uio.no or
Professor Kenneth Hvistendahl Karlsen, e-mail: kennethk@math.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad, e-mail: ole.rustad@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.
We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile Show more details...
via Indeed
posted_at: 4 days agoschedule_type: Full-time
Job description
A PhD Research Fellow position in Hydrology is available at the Department of Geosciences.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Starting date no later than October 1, 2023.
The fellowship period is 3 years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the
Job description
A PhD Research Fellow position in Hydrology is available at the Department of Geosciences.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Starting date no later than October 1, 2023.
The fellowship period is 3 years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
We invite applications for a PhD position in Hydrology to investigate mechanisms controlling snow sublimation associated with losses in
hydropower production. Currently we know very little about the magnitude of sublimation in Norway. The PhD project will use the Cold Climate Container, a new laboratory facility, at the Department of Geosciences, University of Oslo, to investigate sublimation under controlled conditions. The PhD student will conduct detailed... ground-based and UAV-based field studies of sublimation flux at several monitoring sites in Norway, including the Finse Eco-hydrological Observatory (https://www.finse.uio.no). The collected data will be used to update simulation routines within Shyft (Statkraft’s hydrological forecasting toolbox, which is an operational forecasting system for hydropower companies). The PhD study is affiliated with the SnowSub project “Assessing impact of snow sublimation for hydropower production in Norway” (www.mn.uio.no/snowsub). Two hydropower companies, Statkraft AS and Skagerak Kraft AS, are actively involved in the project. The Shyft framework is developed by Statkraft AS in cooperation with University of Oslo as an open source FAIR software. One of the main tasks of the SnowSub project is to develop new routines for snow processes within the Shyft software, including sublimation and interception subroutines. The Phd candidate is expected to participate in the model development and testing.
SnowSub project runs as a collaboration between University of Oslo, the Norwegian Water Resources and Energy Directorate (NVE), Norwegian Meteorologic Institute (Met.no), University of Oulu and, Statkraft AS and Skagerak Kraft AS. The Phd candidate will have an opportunity to learn from and engage with a consortium of experts in flux observations and operational hydrologic forecasting. The student will be integrated in the strategic research initiative LAnd-ATmosphere interactions in Cold Environments (LATICE) group (mn.uio.no/latice), which focuses on exchange processes between the Atmosphere, Biosphere, Cryosphere and Hydrosphere in a changing climate. The Phd position involves field work, laboratory experiments and hydrologic modelling, allowing the candidate to develop a broad set of skills necessary in the future work in academia or industry.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Master’s degree or equivalent in hydrology or a relevant scientific field, for example, geosciences, physics, engineering, or similar.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
Candidates without a Master’s degree have until 30 June, 2023 to complete the final exam.
Applicants must be able and willing to participate in fieldwork in Norway.
Competency in the following areas are also desired:
Experience with experimental and/or field work;
Experience with Hydrologic or Earth System modelling;
Experience with programming in Python and/or C/C++ or other relevant
programming language
Grade requirements:The norm is as follows:
the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system.
the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system.
the Master’s thesis must have the grade B or better in the Norwegian educational system.
Fluent oral and written communication skills in English.
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
We offer
Salary NOK 501 200 – 544 400 per annum depending on qualifications as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include
Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications)
Copies of the original Bachelor and Master’s degree diploma and transcripts of records
Documentation of English proficiency
Letters of recommentation
List of publications and academic work that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
When evaluating the application, emphasis will be given to the applicant’s academic and personal prerequisites to carry out the project. Applicants may be called in for an interview.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information, please contact:
Postdoctor Olga Silantyeva, e-mail: olga.silantyeva@geo.uio.no
Professor Lena Merete Tallaksen, phone: +47 22 85 72 14, e-mail: l.m.tallaksen@geo.uio.no
Researcher Kolbjørn Engeland, e-mail: kolbjorn.engeland@geo.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad, e-mail: ole.rustad@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The geosciences are the studies of the planet Earth and its comparative planetology; the atmosphere, the hydrosphere and cryosphere, the Earth's surface and its interior. The Department of Geosciences conducts research and teaching in most of the domains of geoscience; geology, geophysics, physical geography, geomatics, hydrology, meteorology and oceanography. The Department is the broadest geoscience research and education environment in Norway. The Department encompasses five sections; Meteorology and Oceanography, Geography and Hydrology, Study of sedimentary basins, Environmental geosciences and Crustal Processes. We also hosts one Centre of Excellence CEED - Centre of Earth Evolution and Dynamics.
The Department aims to contribute to the new and important UN Sustainability Development Goals, and are important contributors to IPCC (UN’s Inter-governmental Panel on Climate Change). The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has more than 200 employees Show more details...
A PhD Research Fellow position in Hydrology is available at the Department of Geosciences.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Starting date no later than October 1, 2023.
The fellowship period is 3 years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
We invite applications for a PhD position in Hydrology to investigate mechanisms controlling snow sublimation associated with losses in
hydropower production. Currently we know very little about the magnitude of sublimation in Norway. The PhD project will use the Cold Climate Container, a new laboratory facility, at the Department of Geosciences, University of Oslo, to investigate sublimation under controlled conditions. The PhD student will conduct detailed... ground-based and UAV-based field studies of sublimation flux at several monitoring sites in Norway, including the Finse Eco-hydrological Observatory (https://www.finse.uio.no). The collected data will be used to update simulation routines within Shyft (Statkraft’s hydrological forecasting toolbox, which is an operational forecasting system for hydropower companies). The PhD study is affiliated with the SnowSub project “Assessing impact of snow sublimation for hydropower production in Norway” (www.mn.uio.no/snowsub). Two hydropower companies, Statkraft AS and Skagerak Kraft AS, are actively involved in the project. The Shyft framework is developed by Statkraft AS in cooperation with University of Oslo as an open source FAIR software. One of the main tasks of the SnowSub project is to develop new routines for snow processes within the Shyft software, including sublimation and interception subroutines. The Phd candidate is expected to participate in the model development and testing.
SnowSub project runs as a collaboration between University of Oslo, the Norwegian Water Resources and Energy Directorate (NVE), Norwegian Meteorologic Institute (Met.no), University of Oulu and, Statkraft AS and Skagerak Kraft AS. The Phd candidate will have an opportunity to learn from and engage with a consortium of experts in flux observations and operational hydrologic forecasting. The student will be integrated in the strategic research initiative LAnd-ATmosphere interactions in Cold Environments (LATICE) group (mn.uio.no/latice), which focuses on exchange processes between the Atmosphere, Biosphere, Cryosphere and Hydrosphere in a changing climate. The Phd position involves field work, laboratory experiments and hydrologic modelling, allowing the candidate to develop a broad set of skills necessary in the future work in academia or industry.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Master’s degree or equivalent in hydrology or a relevant scientific field, for example, geosciences, physics, engineering, or similar.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
Candidates without a Master’s degree have until 30 June, 2023 to complete the final exam.
Applicants must be able and willing to participate in fieldwork in Norway.
Competency in the following areas are also desired:
Experience with experimental and/or field work;
Experience with Hydrologic or Earth System modelling;
Experience with programming in Python and/or C/C++ or other relevant
programming language
Grade requirements:The norm is as follows:
the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system.
the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system.
the Master’s thesis must have the grade B or better in the Norwegian educational system.
Fluent oral and written communication skills in English.
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
We offer
Salary NOK 501 200 – 544 400 per annum depending on qualifications as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include
Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications)
Copies of the original Bachelor and Master’s degree diploma and transcripts of records
Documentation of English proficiency
Letters of recommentation
List of publications and academic work that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
When evaluating the application, emphasis will be given to the applicant’s academic and personal prerequisites to carry out the project. Applicants may be called in for an interview.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information, please contact:
Postdoctor Olga Silantyeva, e-mail: olga.silantyeva@geo.uio.no
Professor Lena Merete Tallaksen, phone: +47 22 85 72 14, e-mail: l.m.tallaksen@geo.uio.no
Researcher Kolbjørn Engeland, e-mail: kolbjorn.engeland@geo.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad, e-mail: ole.rustad@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The geosciences are the studies of the planet Earth and its comparative planetology; the atmosphere, the hydrosphere and cryosphere, the Earth's surface and its interior. The Department of Geosciences conducts research and teaching in most of the domains of geoscience; geology, geophysics, physical geography, geomatics, hydrology, meteorology and oceanography. The Department is the broadest geoscience research and education environment in Norway. The Department encompasses five sections; Meteorology and Oceanography, Geography and Hydrology, Study of sedimentary basins, Environmental geosciences and Crustal Processes. We also hosts one Centre of Excellence CEED - Centre of Earth Evolution and Dynamics.
The Department aims to contribute to the new and important UN Sustainability Development Goals, and are important contributors to IPCC (UN’s Inter-governmental Panel on Climate Change). The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has more than 200 employees Show more details...
via Indeed
posted_at: 4 days agoschedule_type: Full-time
About the position
The Section for Scientific Computing Services at the Department of IT, has a vacancy for a Senior engineer position with a start date of earliest possible. The person selected will be working on the Norwegian AI cloud (NAIC) project. The duties would involve understanding,designing and building infrastructure optimised for ML/AI. In addition, the selected candidate is expected to provide support and training on using the infrastructure
About the position
The Section for Scientific Computing Services at the Department of IT, has a vacancy for a Senior engineer position with a start date of earliest possible. The person selected will be working on the Norwegian AI cloud (NAIC) project. The duties would involve understanding,designing and building infrastructure optimised for ML/AI. In addition, the selected candidate is expected to provide support and training on using the infrastructure for researchers and students. The duties would also involve testing new technology for suitability of purpose, perform benchmarks and contribute to publications.
Ideal candidates would have Masters in AI, Machine Learning, Computer Science, Physics, Mathematics, or a related field. The candidate requires a solid background in computer programming, in-depth understanding of machine learning algorithms and hands-on experience in training models on ML optimised hardware. Developing curricula and teaching experience in university level... courses would be an added advantage.
The IT Department in 1 minute: https://www.usit.uio.no/om/om-usit-gen.mp4 (Norwegian)
Qualification requirements
Higher education, minimum Master's level.
Experience or a strong will to learn how to setup, use and optimise software used in bioinformatics
Experience or a strong will to learn how to use GPUs in analysis
Experience in programming multithreaded applications, preferably in a low level language like as C++
Experience at a high level with Python
Interest in Data Science
The ability to teach at University level
Good programming competence
Fluent English, both oral and written
A well written and motivated application letter
Ability and interest in providing support to users of our services
The following aspects will be considered in addition to the requirements:
Own research experience or relevant experience from research groups
Teaching experience at University level
Knowledge of building, installation and use of scientific software
Knowledge of containers and/or Easybuild
Good references
Personal skills
Ability to work independently, to collaborate, coordinate with colleagues and motivate them
Ability to access new knowledge and understand complex problems
Service oriented attitude
Good communication skills in connection with researchers and students, both written and oral
We offer
Attractive welfare benefits and a generous pension agreement
Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
Exercise during work hours
Position will be a senior engineer (1181) with a salary level in the range of NOK 650.000-780.000
How to apply
The application must include:
cover letter statement of motivation
CV (summarizing education, positions and academic work)
copies of educational certificates (academic transcripts only)
documentation of english proficiency
The application with attachments must be delivered in our recruiting system.
Formal regulations
Interviews with the best qualified candidates will be arranged.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition.Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
Head of Section: Jon Kerr Nilsen, +47 402 03 659 email: j.k.nilsen@usit.uio.no
Head of Department: Gard Thomassen +47 936 74 926 email: gard.thomassen@usit.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The IT-department provides infrastructure, IT services and IT solutions for both the University of Oslo and the higher education sector in Norway. USIT is one of the largest IT professional environments in Norway, with more than 340 permanent employees and with a turnover of more than 260 million NOK. We work with a wide range of exciting technical solutions based on future-oriented technology. USIT places great emphasis on providing its employees with challenging and educational tasks that provide excellent opportunities for professional development.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to UiO Show more details...
The Section for Scientific Computing Services at the Department of IT, has a vacancy for a Senior engineer position with a start date of earliest possible. The person selected will be working on the Norwegian AI cloud (NAIC) project. The duties would involve understanding,designing and building infrastructure optimised for ML/AI. In addition, the selected candidate is expected to provide support and training on using the infrastructure for researchers and students. The duties would also involve testing new technology for suitability of purpose, perform benchmarks and contribute to publications.
Ideal candidates would have Masters in AI, Machine Learning, Computer Science, Physics, Mathematics, or a related field. The candidate requires a solid background in computer programming, in-depth understanding of machine learning algorithms and hands-on experience in training models on ML optimised hardware. Developing curricula and teaching experience in university level... courses would be an added advantage.
The IT Department in 1 minute: https://www.usit.uio.no/om/om-usit-gen.mp4 (Norwegian)
Qualification requirements
Higher education, minimum Master's level.
Experience or a strong will to learn how to setup, use and optimise software used in bioinformatics
Experience or a strong will to learn how to use GPUs in analysis
Experience in programming multithreaded applications, preferably in a low level language like as C++
Experience at a high level with Python
Interest in Data Science
The ability to teach at University level
Good programming competence
Fluent English, both oral and written
A well written and motivated application letter
Ability and interest in providing support to users of our services
The following aspects will be considered in addition to the requirements:
Own research experience or relevant experience from research groups
Teaching experience at University level
Knowledge of building, installation and use of scientific software
Knowledge of containers and/or Easybuild
Good references
Personal skills
Ability to work independently, to collaborate, coordinate with colleagues and motivate them
Ability to access new knowledge and understand complex problems
Service oriented attitude
Good communication skills in connection with researchers and students, both written and oral
We offer
Attractive welfare benefits and a generous pension agreement
Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
Exercise during work hours
Position will be a senior engineer (1181) with a salary level in the range of NOK 650.000-780.000
How to apply
The application must include:
cover letter statement of motivation
CV (summarizing education, positions and academic work)
copies of educational certificates (academic transcripts only)
documentation of english proficiency
The application with attachments must be delivered in our recruiting system.
Formal regulations
Interviews with the best qualified candidates will be arranged.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition.Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
Head of Section: Jon Kerr Nilsen, +47 402 03 659 email: j.k.nilsen@usit.uio.no
Head of Department: Gard Thomassen +47 936 74 926 email: gard.thomassen@usit.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The IT-department provides infrastructure, IT services and IT solutions for both the University of Oslo and the higher education sector in Norway. USIT is one of the largest IT professional environments in Norway, with more than 340 permanent employees and with a turnover of more than 260 million NOK. We work with a wide range of exciting technical solutions based on future-oriented technology. USIT places great emphasis on providing its employees with challenging and educational tasks that provide excellent opportunities for professional development.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to UiO Show more details...
via Nature
posted_at: 11 days agoschedule_type: Full-time
Background
A 2-year postdoctoral position with flexible starting date is available in the Computational Biology and Systems Medicine group led by Marieke Kuijjer at the Centre for Molecular Medicine Norway (NCMM), Faculty of Medicine, University of Oslo, Nordic EMBL partner (see https://www.kuijjerlab.org/ for more information).
The group was established in 2018 and focuses on using computational approaches to understand the molecular mechanisms
Background
A 2-year postdoctoral position with flexible starting date is available in the Computational Biology and Systems Medicine group led by Marieke Kuijjer at the Centre for Molecular Medicine Norway (NCMM), Faculty of Medicine, University of Oslo, Nordic EMBL partner (see https://www.kuijjerlab.org/ for more information).
The group was established in 2018 and focuses on using computational approaches to understand the molecular mechanisms that drive cancer development, progression, and heterogeneity. The group's driving hypothesis is that the complex clinical phenotypes we observe in cancer cannot be adequately defined by individual layers of molecular data. Instead, we must consider the underlying network of interactions between the different biological components that can drive cancer phenotypes. To do so, the group develops computational approaches that place genomic data into the context of large-scale, genome-wide regulatory networks, as well as approaches to analyze... such networks for individual cancer patients.
Amongst others, our current projects aim at developing new computational methods and tools for (1) modeling enhancer-promoter interactions, (2) integration of multi-modal single cell data using deep learning, (3) fine-tuned analysis of genome-wide regulatory networks, (4) integration of patient-specific regulatory networks with multi-omic data, (5) modeling networks based on single cell and spatial transcriptomic data. See also https://kuijjerlab.org for more information.
The candidate
We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated to the analysis of of high-throughput genomics data, comparative genomics, functional genomics, or a related field. The candidate should be excited about applying computational tools to answer questions in biology. The ideal candidate is collaborative and creative, has strong programming skills dedicated to the analysis of large-scale genomics data, and has a strong publication record. Experience with analysis of large-scale genomic data sets is a requirement for this position. Experience with data integration, machine learning, network science, cancer biology, and/or gene regulation is considered an advantage. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields.
The candidate will be expected to establish her/his independent research topic within the scope of the group's research interests. Therefore, it is encouraged to submit a short research project proposal with the application (please see below for more information). The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines.
The appointment is a fulltime position and is made for a period of two years with possible extension depending on future funding.
Qualification requirements
• PhD degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or a related field
• Strong publication record (including 1st authorship) with evidence of writing scientific manuscripts independently
• Proficiency in programming (such as R, Python, MATLAB, Bash)
• Experience with analysis of high-throughput genomics data
• Knowledge in gene regulation, cancer, and/or network biology is considered an advantage
• Experience with high performance computing is desirable
• Professional proficiency in English
• Willingness to work in a team environment, sharing skills and ideas, and collaborating on projects
• High drive for science and desire to become an independent researcher
• Fluent oral and written communication skills in English
We offer
• We offer a salary of NOK 544 400 – 626 300 per year depending on the candidate's qualifications
• A professional, stimulating working environment
• Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application, including attachments, must be delivered through the electronic recruiting system.
The application must include
• (1) A cover letter, stating your motivation, scientific background, and research interests
• (2) A short research project proposal, if available (max. 2 pages)
• (3) A detailed CV with a list of publications
• (4) 2-3 references (name, institution, e-mail, telephone number, and relation to the candidate)
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
These should be uploaded in .pdf format. Please submit your application through the web-based recruitment system linked in the announcement. While the recruitment system includes a basic CV, we ask candidates to also include a separate, detailed CV in .pdf format with their application. Applications without a cover letter and/or detailed CV will be rejected.
Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
Inquiries about the position can be directed to group leader Marieke Kuijjer, marieke.kuijjer@ncmm.uio.no.
For questions relating to the administrative aspects of the application can be directed to HR adviser Nina Modahl, ninam@ncmm.uio.no Show more details...
A 2-year postdoctoral position with flexible starting date is available in the Computational Biology and Systems Medicine group led by Marieke Kuijjer at the Centre for Molecular Medicine Norway (NCMM), Faculty of Medicine, University of Oslo, Nordic EMBL partner (see https://www.kuijjerlab.org/ for more information).
The group was established in 2018 and focuses on using computational approaches to understand the molecular mechanisms that drive cancer development, progression, and heterogeneity. The group's driving hypothesis is that the complex clinical phenotypes we observe in cancer cannot be adequately defined by individual layers of molecular data. Instead, we must consider the underlying network of interactions between the different biological components that can drive cancer phenotypes. To do so, the group develops computational approaches that place genomic data into the context of large-scale, genome-wide regulatory networks, as well as approaches to analyze... such networks for individual cancer patients.
Amongst others, our current projects aim at developing new computational methods and tools for (1) modeling enhancer-promoter interactions, (2) integration of multi-modal single cell data using deep learning, (3) fine-tuned analysis of genome-wide regulatory networks, (4) integration of patient-specific regulatory networks with multi-omic data, (5) modeling networks based on single cell and spatial transcriptomic data. See also https://kuijjerlab.org for more information.
The candidate
We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated to the analysis of of high-throughput genomics data, comparative genomics, functional genomics, or a related field. The candidate should be excited about applying computational tools to answer questions in biology. The ideal candidate is collaborative and creative, has strong programming skills dedicated to the analysis of large-scale genomics data, and has a strong publication record. Experience with analysis of large-scale genomic data sets is a requirement for this position. Experience with data integration, machine learning, network science, cancer biology, and/or gene regulation is considered an advantage. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields.
The candidate will be expected to establish her/his independent research topic within the scope of the group's research interests. Therefore, it is encouraged to submit a short research project proposal with the application (please see below for more information). The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines.
The appointment is a fulltime position and is made for a period of two years with possible extension depending on future funding.
Qualification requirements
• PhD degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or a related field
• Strong publication record (including 1st authorship) with evidence of writing scientific manuscripts independently
• Proficiency in programming (such as R, Python, MATLAB, Bash)
• Experience with analysis of high-throughput genomics data
• Knowledge in gene regulation, cancer, and/or network biology is considered an advantage
• Experience with high performance computing is desirable
• Professional proficiency in English
• Willingness to work in a team environment, sharing skills and ideas, and collaborating on projects
• High drive for science and desire to become an independent researcher
• Fluent oral and written communication skills in English
We offer
• We offer a salary of NOK 544 400 – 626 300 per year depending on the candidate's qualifications
• A professional, stimulating working environment
• Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application, including attachments, must be delivered through the electronic recruiting system.
The application must include
• (1) A cover letter, stating your motivation, scientific background, and research interests
• (2) A short research project proposal, if available (max. 2 pages)
• (3) A detailed CV with a list of publications
• (4) 2-3 references (name, institution, e-mail, telephone number, and relation to the candidate)
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
These should be uploaded in .pdf format. Please submit your application through the web-based recruitment system linked in the announcement. While the recruitment system includes a basic CV, we ask candidates to also include a separate, detailed CV in .pdf format with their application. Applications without a cover letter and/or detailed CV will be rejected.
Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
Inquiries about the position can be directed to group leader Marieke Kuijjer, marieke.kuijjer@ncmm.uio.no.
For questions relating to the administrative aspects of the application can be directed to HR adviser Nina Modahl, ninam@ncmm.uio.no Show more details...
via Indeed
posted_at: 23 days agoschedule_type: Full-time
About the position
PhD Research Fellowship in Informatics/Bioinformatics with emphasis on synthetic data generation, applied machine learning and benchmarking is available at the Centre for Bioinformatics (SBI) hosted at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo.
The fellowship will be a full-time position for a period of four (4) years with 25% compulsory work within Computational Life Sciences.
The
About the position
PhD Research Fellowship in Informatics/Bioinformatics with emphasis on synthetic data generation, applied machine learning and benchmarking is available at the Centre for Bioinformatics (SBI) hosted at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo.
The fellowship will be a full-time position for a period of four (4) years with 25% compulsory work within Computational Life Sciences.
The starting date can be between June and September 2023 and can be no later than September 1st 2023.
No one can be appointed for more than one PhD Research Fellowship at the University of Oslo.
Knowledge development in a changing world - Science and technology towards 2030
Faculty of Mathematics and Natural Sciences
...
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Project description
The PhD position is one of four PhD and post-doc positions within the UiORealArt... Convergence environment at the University of Oslo. Convergence environments are interdisciplinary research groups that will aim to solve grand challenges related to health and the environment. They are funded by UiO's interdisciplinary strategic area UiO: Life Science www.uio.no/life-science.
The aim of this Convergence environment is to improve causal inference in perinatal pharmaco-epidemiology using machine learning approaches on real-world and artificial data” (UiORealArt, 2022-2026). The project unites expertise within natural sciences and medicine (pharmacology, machine learning, bioinformatics, statistics, genetics, and epigenetics) with social/educational sciences (psychology, language development and educational attainment).
Perinatal pharmaco-epidemiology refers to a field that studies the safety of medication use during pregnancy. Causal inference in perinatal pharmaco-epidemiology is extremely challenging because of the nature of allowed data collection procedures while the methodological progress has on some aspects stagnated. There is currently a surge of interest in applying machine learning (ML) to epidemiological questions under the assumption that it would improve causal inference. There has also been an increased interest in incorporating high-dimensional molecular data together with epidemiological data from national health registries to strengthen causal inference. However, both the application of ML and the incorporation of high-dimensional molecular data appear to have been mostly based on hype and popular trends rather than a deeper appreciation for problem characteristics and suited inductive biases.
The PhD candidate will build on the combined expertise of epidemiologists and machine learners involved in RealArt and will work at the intersection of bioinformatics, machine learning and causal inference. First, while causality has traditionally been focused on linear relations involving data of limited size/dimensionality, there is currently an increasing interest in considering higher complexity (non-linear) relations and using data of larger size and higher dimensionality. Second, while machine learning has traditionally been focused on reflecting statistical associations in fixed underlying distributions – based on a dataset assumed to be an iid representation of this underlying distribution – there has lately been an increased realization that real-world application of machine learning very often involves substantial domain shifts, and that causality provides perspectives that are very useful to reason about and to improve the generalizability/robustness of ML models in face of such challenges.
The PhD student will mainly lead projects related to synthetic data generation, applied machine learning and benchmarking within the scope of RealArt. The following are provisional project directions in sequential order: 1) develop a framework for simulating high-dimensional molecular marker datasets under a defined causal structure with varying levels of correlations. 2) develop a benchmark suite to enable the assessment of the feasibility of drawing causal conclusions through the incorporation of molecular markers in perinatal epidemiology. 3) Assessment of the performance of analytical methods in recovering the ground truth associations between molecular markers and covariates in perinatal epidemiology datasets.
The candidate will become affiliated to the Centre for Bioinformatics hosted at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, where Chakravarthi Kanduri will be the main supervisor. The PhD student will be co-supervised by Kristina Gervin, Div of Clinical Neuroscience, OUS, UiO. The work will be performed in close collaboration with Professor Geir Kjetil Sandve, Dpt. of Informatics and Professor Hedvig Nordeng, Dpt. Pharmacy, Faculty of Mathematics and Natural Sciences, UiO, the UiORealArt members and international partners.
The main purpose of the fellowship is research training leading to the successful completion of a PhD degree.
Colourbox
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for this fellowship will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Applicants must hold a Master’s degree equivalent to a Norwegian Master’s degree in Bioinformatics/Informatics, Data Science, Computer Science, Statistics or a related field. Candidates without a Master’s degree have until 30 June 2023 to complete the final exam.
Strong programming skills in Python
Excellent communication skills in English, both oral and written
Desired qualifications:
Although not required, the following qualifications will be an advantage in the assessment of the applicants:
Documented experience and/or decent grasp of machine learning or statistical methodologies
Documented experience in handling data from high-throughput molecular data (omics)
Projects or coursework in causal inference
Projects or coursework involving data simulations
Grade requirements:
The norm is as follows:
the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
the Master’s thesis must have the grade B or better in the Norwegian educational system
Fluent oral and written communication skills in English
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
Personal skills
Ability to work independently as well as in multidisciplinary teams
Ability to give and receive constructive scientific criticism
Resourceful, structured, and result-oriented.
We offer
Salary NOK 501 200 – 544 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
Cover letter: The candidates are advised to describe in the cover letter how they meet the required qualifications and if they meet any of the desirable qualifications. The cover letter should also include a statement of motivation, research interest and short summary of any prior scientific work.
CV (summarizing education, skills, any previous positions, and other qualifying activities such as teaching experience, and administrative experience)
Copies of educational certificates (original Bachelor and Master’s degree diplomas), academic transcript of records and letters of recommendation
Any examples of code from the applicant’s previous work shared through a GitHub link that allows the evaluation of programming skills
List of publications (if any) and academic work (e.g., master's thesis or similar) that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the statement of motivation and the candidate’s personal suitability. Interviews with the best-qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact: Chakravarthi Kanduri, e-mail: skanduri@ifi.uio.no or Kristina Gervin e-mail: kristina.gervin@farmasi.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors Show more details...
PhD Research Fellowship in Informatics/Bioinformatics with emphasis on synthetic data generation, applied machine learning and benchmarking is available at the Centre for Bioinformatics (SBI) hosted at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo.
The fellowship will be a full-time position for a period of four (4) years with 25% compulsory work within Computational Life Sciences.
The starting date can be between June and September 2023 and can be no later than September 1st 2023.
No one can be appointed for more than one PhD Research Fellowship at the University of Oslo.
Knowledge development in a changing world - Science and technology towards 2030
Faculty of Mathematics and Natural Sciences
...
(Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video)
Project description
The PhD position is one of four PhD and post-doc positions within the UiORealArt... Convergence environment at the University of Oslo. Convergence environments are interdisciplinary research groups that will aim to solve grand challenges related to health and the environment. They are funded by UiO's interdisciplinary strategic area UiO: Life Science www.uio.no/life-science.
The aim of this Convergence environment is to improve causal inference in perinatal pharmaco-epidemiology using machine learning approaches on real-world and artificial data” (UiORealArt, 2022-2026). The project unites expertise within natural sciences and medicine (pharmacology, machine learning, bioinformatics, statistics, genetics, and epigenetics) with social/educational sciences (psychology, language development and educational attainment).
Perinatal pharmaco-epidemiology refers to a field that studies the safety of medication use during pregnancy. Causal inference in perinatal pharmaco-epidemiology is extremely challenging because of the nature of allowed data collection procedures while the methodological progress has on some aspects stagnated. There is currently a surge of interest in applying machine learning (ML) to epidemiological questions under the assumption that it would improve causal inference. There has also been an increased interest in incorporating high-dimensional molecular data together with epidemiological data from national health registries to strengthen causal inference. However, both the application of ML and the incorporation of high-dimensional molecular data appear to have been mostly based on hype and popular trends rather than a deeper appreciation for problem characteristics and suited inductive biases.
The PhD candidate will build on the combined expertise of epidemiologists and machine learners involved in RealArt and will work at the intersection of bioinformatics, machine learning and causal inference. First, while causality has traditionally been focused on linear relations involving data of limited size/dimensionality, there is currently an increasing interest in considering higher complexity (non-linear) relations and using data of larger size and higher dimensionality. Second, while machine learning has traditionally been focused on reflecting statistical associations in fixed underlying distributions – based on a dataset assumed to be an iid representation of this underlying distribution – there has lately been an increased realization that real-world application of machine learning very often involves substantial domain shifts, and that causality provides perspectives that are very useful to reason about and to improve the generalizability/robustness of ML models in face of such challenges.
The PhD student will mainly lead projects related to synthetic data generation, applied machine learning and benchmarking within the scope of RealArt. The following are provisional project directions in sequential order: 1) develop a framework for simulating high-dimensional molecular marker datasets under a defined causal structure with varying levels of correlations. 2) develop a benchmark suite to enable the assessment of the feasibility of drawing causal conclusions through the incorporation of molecular markers in perinatal epidemiology. 3) Assessment of the performance of analytical methods in recovering the ground truth associations between molecular markers and covariates in perinatal epidemiology datasets.
The candidate will become affiliated to the Centre for Bioinformatics hosted at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, where Chakravarthi Kanduri will be the main supervisor. The PhD student will be co-supervised by Kristina Gervin, Div of Clinical Neuroscience, OUS, UiO. The work will be performed in close collaboration with Professor Geir Kjetil Sandve, Dpt. of Informatics and Professor Hedvig Nordeng, Dpt. Pharmacy, Faculty of Mathematics and Natural Sciences, UiO, the UiORealArt members and international partners.
The main purpose of the fellowship is research training leading to the successful completion of a PhD degree.
Colourbox
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for this fellowship will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Applicants must hold a Master’s degree equivalent to a Norwegian Master’s degree in Bioinformatics/Informatics, Data Science, Computer Science, Statistics or a related field. Candidates without a Master’s degree have until 30 June 2023 to complete the final exam.
Strong programming skills in Python
Excellent communication skills in English, both oral and written
Desired qualifications:
Although not required, the following qualifications will be an advantage in the assessment of the applicants:
Documented experience and/or decent grasp of machine learning or statistical methodologies
Documented experience in handling data from high-throughput molecular data (omics)
Projects or coursework in causal inference
Projects or coursework involving data simulations
Grade requirements:
The norm is as follows:
the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
the Master’s thesis must have the grade B or better in the Norwegian educational system
Fluent oral and written communication skills in English
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
Personal skills
Ability to work independently as well as in multidisciplinary teams
Ability to give and receive constructive scientific criticism
Resourceful, structured, and result-oriented.
We offer
Salary NOK 501 200 – 544 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
Cover letter: The candidates are advised to describe in the cover letter how they meet the required qualifications and if they meet any of the desirable qualifications. The cover letter should also include a statement of motivation, research interest and short summary of any prior scientific work.
CV (summarizing education, skills, any previous positions, and other qualifying activities such as teaching experience, and administrative experience)
Copies of educational certificates (original Bachelor and Master’s degree diplomas), academic transcript of records and letters of recommendation
Any examples of code from the applicant’s previous work shared through a GitHub link that allows the evaluation of programming skills
List of publications (if any) and academic work (e.g., master's thesis or similar) that the applicant wishes to be considered by the evaluation committee
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the statement of motivation and the candidate’s personal suitability. Interviews with the best-qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact: Chakravarthi Kanduri, e-mail: skanduri@ifi.uio.no or Kristina Gervin e-mail: kristina.gervin@farmasi.uio.no
For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors Show more details...
via Indeed
posted_at: 6 days agoschedule_type: Full-time
Job description
Position as PhD Research Fellow in Digitalization and Circular Economy is available at the Networks and Distributed Systems (ND) group, Department of Informatics, University of Oslo.
The position is in the context of a new project, funded by the European Commission within the Horizon Europe program, called CE-RISE: Circular Economy Resource Information System.
The fellowship period is 3 years and devoted to carrying out research
Job description
Position as PhD Research Fellow in Digitalization and Circular Economy is available at the Networks and Distributed Systems (ND) group, Department of Informatics, University of Oslo.
The position is in the context of a new project, funded by the European Commission within the Horizon Europe program, called CE-RISE: Circular Economy Resource Information System.
The fellowship period is 3 years and devoted to carrying out research in the context of the CE-RISE project. The research is conducted in collaboration with Norwegian Institute for Air Research (NILU) and many other partners of the project throughout Europe, both from academia and industry.
A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
Starting date: preferably no later than May 1st, 2023.
More about the position
The... rising demand and limited supply of critical raw materials (CRMs) impair the ability to rapidly adopt technological change toward green and sustainable technologies. CE-RISE will develop and pilot an integrated resource information system to identify optimal solutions for the effective reuse, recovery, and/or recycling of materials by:
1) defining a set of criteria (RE criteria) to evaluate the extent to which products and their components can be reused, repaired, refurbished and/or recycled (e.g., electronic wastes);
2) incorporating information on RE criteria and material composition of products into the Digital product passport (DPP) to enable interpretability and traceability of materials in the supply chain;
3) enabling confidential and anonymized information sharing among actors throughout value chains;
4) providing open-access software application to disseminate information on the assessment of RE criteria to all stakeholders. CE-RISE will foster a dynamic ecosystem toward prolonging the use of materials and stimulating circular economy models to reduce waste generation while optimizing the reuse of secondary raw materials.
To transit towards a sustainable and circular economy, the emerging ICT technologies, such as Internet of Things (IoT), Blockchain, and Artificial Intelligence, have been introduced for, e.g., automated and efficient waste material tracking or route planning. This leads to the creation of many islands of material data limited to intra-organization usage purposes, with poor and manual ways of linking data from producers to consumers. To address the high diversity and heterogeneity of material data, ontology, dataset mapping, linked data, and semantic data modelling and processing can be applied—a key building block of the CE-RISE information system.
The main goal of the announced PhD position is to conduct research on this design aspect of the CE-RISE information system. The semantic data processing engine of CE-RISE features intelligent matching techniques to match material data providers and consumers based on specified socio-economic and environmental criteria. The PhD research fellow will also work on Blockchain-based supply chain solutions to propose appropriate smart contract-based techniques to automatically interpret and integrate material data, while enabling transparency and traceability in data flow among different actors throughout value chains.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Applicants must hold a Master’s degree or equivalent in Computer Science or Information Technology
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
The candidate should have interest and background in data modeling, system integration, semantic data modeling and ontologies
The candidate should have good analytical skills and programming experience (e.g., Java or python)
It is desirable that the candidate has good knowledge on Machine Learning and/or Blockchain
Applicants must be able to demonstrate interest in scientific research
The evaluation considers many aspects of excellence, as well as the personal drive and organizational skills
Grade requirements
The norm is as follows:
The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
The Master’s thesis must have the grade B or better in the Norwegian educational system
Fluent oral and written communication skills in English:
http://www.mn.uio.no/english/research/phd/application/application.html
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
We offer
Salary NOK 501 200 – 544 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications)
Copies of the original Master’s degree diploma
Copies of the transcripts of records
Documentation of English proficiency
Copies of 2-3 letters of recommendation
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
Applicants may be called in for an interview.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact: Assoc. Prof. Amir Taherkordi, e-mail: amirhost@ifi.uio.no,
Dr. Geir Horn, e-mail: geir.horn@mn.uio.no, or
Dr. Golnoush Abbasi, email: goa@nilu.no
For questions regarding Jobbnorge, please contact HR AdviserTherese Ringvold, e-mail: therese.ringvold@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors Show more details...
Position as PhD Research Fellow in Digitalization and Circular Economy is available at the Networks and Distributed Systems (ND) group, Department of Informatics, University of Oslo.
The position is in the context of a new project, funded by the European Commission within the Horizon Europe program, called CE-RISE: Circular Economy Resource Information System.
The fellowship period is 3 years and devoted to carrying out research in the context of the CE-RISE project. The research is conducted in collaboration with Norwegian Institute for Air Research (NILU) and many other partners of the project throughout Europe, both from academia and industry.
A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
Starting date: preferably no later than May 1st, 2023.
More about the position
The... rising demand and limited supply of critical raw materials (CRMs) impair the ability to rapidly adopt technological change toward green and sustainable technologies. CE-RISE will develop and pilot an integrated resource information system to identify optimal solutions for the effective reuse, recovery, and/or recycling of materials by:
1) defining a set of criteria (RE criteria) to evaluate the extent to which products and their components can be reused, repaired, refurbished and/or recycled (e.g., electronic wastes);
2) incorporating information on RE criteria and material composition of products into the Digital product passport (DPP) to enable interpretability and traceability of materials in the supply chain;
3) enabling confidential and anonymized information sharing among actors throughout value chains;
4) providing open-access software application to disseminate information on the assessment of RE criteria to all stakeholders. CE-RISE will foster a dynamic ecosystem toward prolonging the use of materials and stimulating circular economy models to reduce waste generation while optimizing the reuse of secondary raw materials.
To transit towards a sustainable and circular economy, the emerging ICT technologies, such as Internet of Things (IoT), Blockchain, and Artificial Intelligence, have been introduced for, e.g., automated and efficient waste material tracking or route planning. This leads to the creation of many islands of material data limited to intra-organization usage purposes, with poor and manual ways of linking data from producers to consumers. To address the high diversity and heterogeneity of material data, ontology, dataset mapping, linked data, and semantic data modelling and processing can be applied—a key building block of the CE-RISE information system.
The main goal of the announced PhD position is to conduct research on this design aspect of the CE-RISE information system. The semantic data processing engine of CE-RISE features intelligent matching techniques to match material data providers and consumers based on specified socio-economic and environmental criteria. The PhD research fellow will also work on Blockchain-based supply chain solutions to propose appropriate smart contract-based techniques to automatically interpret and integrate material data, while enabling transparency and traceability in data flow among different actors throughout value chains.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Applicants must hold a Master’s degree or equivalent in Computer Science or Information Technology
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
The candidate should have interest and background in data modeling, system integration, semantic data modeling and ontologies
The candidate should have good analytical skills and programming experience (e.g., Java or python)
It is desirable that the candidate has good knowledge on Machine Learning and/or Blockchain
Applicants must be able to demonstrate interest in scientific research
The evaluation considers many aspects of excellence, as well as the personal drive and organizational skills
Grade requirements
The norm is as follows:
The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
The Master’s thesis must have the grade B or better in the Norwegian educational system
Fluent oral and written communication skills in English:
http://www.mn.uio.no/english/research/phd/application/application.html
The purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:
http://www.uio.no/english/research/phd/
http://www.mn.uio.no/english/research/phd/
We offer
Salary NOK 501 200 – 544 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
Career development programmes
Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
Cover letter - statement of motivation and research interests
CV (summarizing education, positions and academic work - scientific publications)
Copies of the original Master’s degree diploma
Copies of the transcripts of records
Documentation of English proficiency
Copies of 2-3 letters of recommendation
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
Applicants may be called in for an interview.
Formal regulations
Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact: Assoc. Prof. Amir Taherkordi, e-mail: amirhost@ifi.uio.no,
Dr. Geir Horn, e-mail: geir.horn@mn.uio.no, or
Dr. Golnoush Abbasi, email: goa@nilu.no
For questions regarding Jobbnorge, please contact HR AdviserTherese Ringvold, e-mail: therese.ringvold@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors Show more details...
via Indeed
schedule_type: Full-time
Job description
New application deadline: Sunday March 19 2023
A Postdoctoral Research Fellowship (SKO 1352) is available at the Department of Philosophy, Classics, and the History of Art and Ideas of the University of Oslo.
The fellowship is part of the project GrECI (“Greek Heritage in European Culture and Identity”), funded by the European Research Council (HORIZON-WIDERA-2021ACCESS call, 101079379). The project consists of a close collaboration
Job description
New application deadline: Sunday March 19 2023
A Postdoctoral Research Fellowship (SKO 1352) is available at the Department of Philosophy, Classics, and the History of Art and Ideas of the University of Oslo.
The fellowship is part of the project GrECI (“Greek Heritage in European Culture and Identity”), funded by the European Research Council (HORIZON-WIDERA-2021ACCESS call, 101079379). The project consists of a close collaboration between the University of Oslo (Norway), the University of Cyprus, and the University of Franche-Comté (France).
The heritage of ancient Greece is commonly regarded as a main component of a shared European culture. But how did this idea emerge? The complex historical processes of cultural reception that shaped it are still in need of explanation. The research project “Greek Heritage in European Culture and Identity” (GrECI) explores a key phase in this process: the reception and appropriation of the heritage of ancient Greece in early... modern Europe (15th-17th century).
The project relies on a close collaboration between the University of Oslo (Prof. Han Lamers), the University of Cyprus (Dr Natasha Constantinidou), and the University of Franche-Comté (Prof. Marie Barral-Baron Daussy). The consortium aspires to promote collaboration in the field both by making scholarly contributions in the form of conference papers and various publications and by developing a network of scholars via meetings, workshops, and conferences. It focuses especially on early career researchers.
The research conducted at the University of Oslo specifically aims to contribute to our understanding of the cultural history of Greek learning in early modern Europe. How did writers and artists shape notions of Greek language, literature, and culture? Did they understand ancient Greece as part of their own cultural heritage? And if so, in what ways?
For more information about the project, please see https://www.hf.uio.no/ifikk/english/research/projects/greek-heritage-in-european-culture-and-identity/index.html
The project's official website: GrECI – Greek Heritage in European Culture and Identity (greci-twinning.org)
More about the position
The position is available for 2 years, full-time, with an expected commencement in September 2023.
The postdoctoral fellow will be expected to conduct a research project that sheds new light on the cultural (material and/or literary) history of Greek learning in early modern Europe. Research results should be presented in the form of conference papers and a number of journal articles. Relevant areas of scholarship include classical reception studies, Byzantine and Greek studies, Renaissance studies, art history, iconology, book history, and the history of knowledge and scholarship. Candidates are asked to clearly articulate the topics on which they intend to work in their project description. Proposals should explicitly relate to questions of Greek and European identity formation and the material and/or wider cultural historical dimensions of Greek learning in early modern Europe. The candidate is expected to present a research project closely connected to the main project.
In addition to conducting research and presenting its results, the successful candidate will also be expected to contribute to other project activities, including collaborative research, writings sessions, the organization of workshops, and visiting the consortium’s partner institutions.
The successful candidate will work closely with Prof. Han Lamers at the University of Oslo and is also expected to collaborate with consortium members and to participate in the research network of the department.
The main purpose of postdoctoral research fellowships is to qualify researchers for work in higher academic positions within their disciplines.
Qualification requirements
PhD or equivalent academic qualifications with a specialization in an area that is relevant to the project (e.g. classics, Greek studies, Renaissance studies, early modern history, art history)
The candidate’s research project must be closely connected to the ambitions of “Greek Heritage in European Culture and Identity” (HORIZON-WIDERA-2021ACCESS call, 101079379)
Fluent oral and written communication skills in English
Command of the language(s) that are essential to the candidate’s proposed research project
Personal suitability and motivation for the position
The doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent on the public defence of the doctoral thesis being approved.
In the evaluation of the applications, emphasis will be placed on:
The research project’s scientific merit, research-related relevance, and innovation
The applicant’s estimated academic and personal ability to carry out the project within the allotted time frame and contribute to the research of the project team
Good co-operative skills, and the ability to successfully join in academic collaboration within and across disciplines
We offer
Salary NOK 544 400 - 626 300 per annum depending on qualifications
A professionally stimulating working environment
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application must include
Expression of interest and research idea (2–3 pages) describing the applicant’s motivation for the position and the research idea they propose to develop within the scope of the project
Curriculum Vitae with grades listed (with a list of education, positions, teaching experience, administrative experience and other qualifying activities)
Full list of publications
Copies of educational certificates (academic transcripts only)
List of reference persons: 3 references (name, relation to candidate, e-mail and phone number)
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
Long-listed candidates will be asked to submit
A detailed project description (approx. 3–5 pages, maximum 14,000 characters. See Template for project descriptions). The project description must present a feasible progress plan. It is expected that the applicant will be able to complete the project during the period of appointment
Two academic article-length writing samples that the applicant wishes to be considered (these can include dissertation chapters and must not necessarily be published).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the project description (whenever this is required in the call for applicants), and the quality of the project as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
See also Regulations concerning Post-Doctoral Research Fellowships.
Following the Freedom of Information Act (Offentleglova) § 25, Chapter 2, information about the applicant may be used in the public list of applicants even if the applicant opts out from the entry in the public application list.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
The University of Oslo has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by its employees, including research results.
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.
Contact information
For questions about the project and the position:
Professor Han Lamers, e-mail: han.lamers@ifikk.uio.no
For questions about how to apply:
HR Officer Anders Rykke, e-mail: anders.rykke@hf.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Department embraces four disciplines: Philosophy, Classical Languages (Greek and Latin), History of Ideas and Art History. The Department is also responsible for the introductory philosophy courses, obligatory for all students attending study programmes at the University of Oslo. The Department has about 110 employees Show more details...
New application deadline: Sunday March 19 2023
A Postdoctoral Research Fellowship (SKO 1352) is available at the Department of Philosophy, Classics, and the History of Art and Ideas of the University of Oslo.
The fellowship is part of the project GrECI (“Greek Heritage in European Culture and Identity”), funded by the European Research Council (HORIZON-WIDERA-2021ACCESS call, 101079379). The project consists of a close collaboration between the University of Oslo (Norway), the University of Cyprus, and the University of Franche-Comté (France).
The heritage of ancient Greece is commonly regarded as a main component of a shared European culture. But how did this idea emerge? The complex historical processes of cultural reception that shaped it are still in need of explanation. The research project “Greek Heritage in European Culture and Identity” (GrECI) explores a key phase in this process: the reception and appropriation of the heritage of ancient Greece in early... modern Europe (15th-17th century).
The project relies on a close collaboration between the University of Oslo (Prof. Han Lamers), the University of Cyprus (Dr Natasha Constantinidou), and the University of Franche-Comté (Prof. Marie Barral-Baron Daussy). The consortium aspires to promote collaboration in the field both by making scholarly contributions in the form of conference papers and various publications and by developing a network of scholars via meetings, workshops, and conferences. It focuses especially on early career researchers.
The research conducted at the University of Oslo specifically aims to contribute to our understanding of the cultural history of Greek learning in early modern Europe. How did writers and artists shape notions of Greek language, literature, and culture? Did they understand ancient Greece as part of their own cultural heritage? And if so, in what ways?
For more information about the project, please see https://www.hf.uio.no/ifikk/english/research/projects/greek-heritage-in-european-culture-and-identity/index.html
The project's official website: GrECI – Greek Heritage in European Culture and Identity (greci-twinning.org)
More about the position
The position is available for 2 years, full-time, with an expected commencement in September 2023.
The postdoctoral fellow will be expected to conduct a research project that sheds new light on the cultural (material and/or literary) history of Greek learning in early modern Europe. Research results should be presented in the form of conference papers and a number of journal articles. Relevant areas of scholarship include classical reception studies, Byzantine and Greek studies, Renaissance studies, art history, iconology, book history, and the history of knowledge and scholarship. Candidates are asked to clearly articulate the topics on which they intend to work in their project description. Proposals should explicitly relate to questions of Greek and European identity formation and the material and/or wider cultural historical dimensions of Greek learning in early modern Europe. The candidate is expected to present a research project closely connected to the main project.
In addition to conducting research and presenting its results, the successful candidate will also be expected to contribute to other project activities, including collaborative research, writings sessions, the organization of workshops, and visiting the consortium’s partner institutions.
The successful candidate will work closely with Prof. Han Lamers at the University of Oslo and is also expected to collaborate with consortium members and to participate in the research network of the department.
The main purpose of postdoctoral research fellowships is to qualify researchers for work in higher academic positions within their disciplines.
Qualification requirements
PhD or equivalent academic qualifications with a specialization in an area that is relevant to the project (e.g. classics, Greek studies, Renaissance studies, early modern history, art history)
The candidate’s research project must be closely connected to the ambitions of “Greek Heritage in European Culture and Identity” (HORIZON-WIDERA-2021ACCESS call, 101079379)
Fluent oral and written communication skills in English
Command of the language(s) that are essential to the candidate’s proposed research project
Personal suitability and motivation for the position
The doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent on the public defence of the doctoral thesis being approved.
In the evaluation of the applications, emphasis will be placed on:
The research project’s scientific merit, research-related relevance, and innovation
The applicant’s estimated academic and personal ability to carry out the project within the allotted time frame and contribute to the research of the project team
Good co-operative skills, and the ability to successfully join in academic collaboration within and across disciplines
We offer
Salary NOK 544 400 - 626 300 per annum depending on qualifications
A professionally stimulating working environment
Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities
How to apply
The application must include
Expression of interest and research idea (2–3 pages) describing the applicant’s motivation for the position and the research idea they propose to develop within the scope of the project
Curriculum Vitae with grades listed (with a list of education, positions, teaching experience, administrative experience and other qualifying activities)
Full list of publications
Copies of educational certificates (academic transcripts only)
List of reference persons: 3 references (name, relation to candidate, e-mail and phone number)
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
Long-listed candidates will be asked to submit
A detailed project description (approx. 3–5 pages, maximum 14,000 characters. See Template for project descriptions). The project description must present a feasible progress plan. It is expected that the applicant will be able to complete the project during the period of appointment
Two academic article-length writing samples that the applicant wishes to be considered (these can include dissertation chapters and must not necessarily be published).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the project description (whenever this is required in the call for applicants), and the quality of the project as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
See also Regulations concerning Post-Doctoral Research Fellowships.
Following the Freedom of Information Act (Offentleglova) § 25, Chapter 2, information about the applicant may be used in the public list of applicants even if the applicant opts out from the entry in the public application list.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
The University of Oslo has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by its employees, including research results.
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.
Contact information
For questions about the project and the position:
Professor Han Lamers, e-mail: han.lamers@ifikk.uio.no
For questions about how to apply:
HR Officer Anders Rykke, e-mail: anders.rykke@hf.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Department embraces four disciplines: Philosophy, Classical Languages (Greek and Latin), History of Ideas and Art History. The Department is also responsible for the introductory philosophy courses, obligatory for all students attending study programmes at the University of Oslo. The Department has about 110 employees Show more details...
via Indeed
schedule_type: Full-time
Job description
A position as Postdoctoral Research Fellow in Machine Learning for Chemistry is available at the Hylleraas Centre for Quantum Molecular Sciences in the Department of Chemistry, University of Oslo.
Starting date: No later than June 1, 2023.
The fellowship will be for a period of 2 years.
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.
The fellowship is part of the project catLEGOS,
Job description
A position as Postdoctoral Research Fellow in Machine Learning for Chemistry is available at the Hylleraas Centre for Quantum Molecular Sciences in the Department of Chemistry, University of Oslo.
Starting date: No later than June 1, 2023.
The fellowship will be for a period of 2 years.
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.
The fellowship is part of the project catLEGOS, which will focus on the development of machine learning models for the prediction of quantum properties relevant to catalysis with transition metal complexes.
The research is planned in three different work packages, including:
1) the generation of datasets describing the chemical space made of transition metal complexes,
2) the development of molecular and materials representations based on first-principles calculations
3) the optimization of predictive models based on neural networks, Gaussian processes, and gradient boosting... methods
The fellow will work at the Hylleraas Centre, which is the Research Centre of Excellence for Chemistry in Norway. In addition to an excellent scientific community and working environment, the Centre offers a career development plan for future professional development. More information on the Hylleraas Centre can be found on this website: https://www.mn.uio.no/hylleraas/english
The project will be supervised by Res. Prof. David Balcells, PI of the Hylleraas Centre, and it will build on the previous work of the research group, including Chem. Sci., 2020, 11, 4584, J. Chem. Inf. Mod., 2020, 60, 6135, and this preprint. The project may involve collaborations with the UiO Department of Mathematics, the UiO Catalysis group, and the groups of Aspuru-Guzik (University of Toronto, Canada) and Nguyen (University of Illinois Chicago, USA).
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Applicants must hold a degree equivalent to a Norwegian doctoral degree in Chemistry, Chemical Engineering, or Materials Science. Doctoral dissertation must be submitted for evaluation by March 15, 2023. Only applicants with an approved doctoral thesis and public defence are eligible for appointment
Documented and good knowledge in one or more of the following topics: machine learning, computational chemistry, computational materials science
Documented experience in programming with Python
Fluent oral and written communication skills in English
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
Desired qualifications:
Documented and good knowledge in both machine learning and one or more of the following: computational chemistry and computational materials science
For applicants with a PhD related to machine learning: Experience with deep graph learning and one or more of the following: Bayesian and ensemble learning
For applicants with a computational PhD in chemistry or materials science: Experience in the modeling of transition metal systems.
Python experience with chemoinformatics and machine learning packages like RDKit, openbabel, pandas, numpy, pytorch, and keras/tensorflow
Python experience with data visualization
Experience with computational chemistry software for the modeling of molecules like Gaussian or similar, and/or periodic materials, like VASP or similar
Personal skills
Independent and creative thinking
Exceptional analytical skills
Able to make connections and seeing the big picture
Team work within a diverse group
Motivated and enthusiastic, with a positive attitude
Willing to contribute to an engaging work environment
We offer
Salary NOK 544 400 – 626 300 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
Oslo’s friendly atmosphere, with plenty of cultural and outdoor activities, also for families
Postdoctoral development programs
Possibility to join the Hylleraas Centre management team through the Hylleraas Young Researcher Parliament
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
How to apply
The application must include
Cover letter describing motivation and research interests
CV summarizing education, positions, and academic work, including a complete list of publications
Copies of the original Bachelor, Master and PhD degree diploma, and transcripts of records
Documentation of English proficiency
Names and contact details of one or two references (including name, e-mail, and relation to the candidate) who can provide recommendation letters during the selection process.
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English.
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the candidates having the highest qualifications will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed twice as a Postdoctoral fellow financed with funds from The Research Council of Norway (NFR).
If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact
Research Professor David Balcells, email: david.balcells@kjemi.uio.no
For technical questions, regarding the recruitment system please contact:
HR Advisor Olga Holmlund, e-mail: olga.holmlund@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
Hylleraas Centre for Quantum Molecular Sciences operates under the aegis of the Department of Chemistry at the Faculty of Mathematics and Natural Sciences. The Department of Chemistry is Norway's largest institution within research and education in chemistry. Our research excels internationally and we educate students to a wide variety of jobs in industry, academia, research institutions, schools and public administration.
Our research ranges from the core topics of chemistry to applied science within in environmental, health, energy and materials. The Department has extensive contacts with industry, research and educational institutions at home and abroad.
As partner in the Centre for Materials Science and Nanotechnology our researchers contributes to a significant interdisciplinary efforts in cooperation with the Department of Physics.
The Department of Chemistry has its own school laboratory as a great resource for teachers, public outreach and the didactics of chemistry Show more details...
A position as Postdoctoral Research Fellow in Machine Learning for Chemistry is available at the Hylleraas Centre for Quantum Molecular Sciences in the Department of Chemistry, University of Oslo.
Starting date: No later than June 1, 2023.
The fellowship will be for a period of 2 years.
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.
The fellowship is part of the project catLEGOS, which will focus on the development of machine learning models for the prediction of quantum properties relevant to catalysis with transition metal complexes.
The research is planned in three different work packages, including:
1) the generation of datasets describing the chemical space made of transition metal complexes,
2) the development of molecular and materials representations based on first-principles calculations
3) the optimization of predictive models based on neural networks, Gaussian processes, and gradient boosting... methods
The fellow will work at the Hylleraas Centre, which is the Research Centre of Excellence for Chemistry in Norway. In addition to an excellent scientific community and working environment, the Centre offers a career development plan for future professional development. More information on the Hylleraas Centre can be found on this website: https://www.mn.uio.no/hylleraas/english
The project will be supervised by Res. Prof. David Balcells, PI of the Hylleraas Centre, and it will build on the previous work of the research group, including Chem. Sci., 2020, 11, 4584, J. Chem. Inf. Mod., 2020, 60, 6135, and this preprint. The project may involve collaborations with the UiO Department of Mathematics, the UiO Catalysis group, and the groups of Aspuru-Guzik (University of Toronto, Canada) and Nguyen (University of Illinois Chicago, USA).
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Applicants must hold a degree equivalent to a Norwegian doctoral degree in Chemistry, Chemical Engineering, or Materials Science. Doctoral dissertation must be submitted for evaluation by March 15, 2023. Only applicants with an approved doctoral thesis and public defence are eligible for appointment
Documented and good knowledge in one or more of the following topics: machine learning, computational chemistry, computational materials science
Documented experience in programming with Python
Fluent oral and written communication skills in English
English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
Desired qualifications:
Documented and good knowledge in both machine learning and one or more of the following: computational chemistry and computational materials science
For applicants with a PhD related to machine learning: Experience with deep graph learning and one or more of the following: Bayesian and ensemble learning
For applicants with a computational PhD in chemistry or materials science: Experience in the modeling of transition metal systems.
Python experience with chemoinformatics and machine learning packages like RDKit, openbabel, pandas, numpy, pytorch, and keras/tensorflow
Python experience with data visualization
Experience with computational chemistry software for the modeling of molecules like Gaussian or similar, and/or periodic materials, like VASP or similar
Personal skills
Independent and creative thinking
Exceptional analytical skills
Able to make connections and seeing the big picture
Team work within a diverse group
Motivated and enthusiastic, with a positive attitude
Willing to contribute to an engaging work environment
We offer
Salary NOK 544 400 – 626 300 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
Oslo’s friendly atmosphere, with plenty of cultural and outdoor activities, also for families
Postdoctoral development programs
Possibility to join the Hylleraas Centre management team through the Hylleraas Young Researcher Parliament
Attractive welfare benefits and a generous pension agreement
Vibrant international academic environment
How to apply
The application must include
Cover letter describing motivation and research interests
CV summarizing education, positions, and academic work, including a complete list of publications
Copies of the original Bachelor, Master and PhD degree diploma, and transcripts of records
Documentation of English proficiency
Names and contact details of one or two references (including name, e-mail, and relation to the candidate) who can provide recommendation letters during the selection process.
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English.
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the candidates having the highest qualifications will be arranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
Formal regulations
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed twice as a Postdoctoral fellow financed with funds from The Research Council of Norway (NFR).
If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact information
For further information please contact
Research Professor David Balcells, email: david.balcells@kjemi.uio.no
For technical questions, regarding the recruitment system please contact:
HR Advisor Olga Holmlund, e-mail: olga.holmlund@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
Hylleraas Centre for Quantum Molecular Sciences operates under the aegis of the Department of Chemistry at the Faculty of Mathematics and Natural Sciences. The Department of Chemistry is Norway's largest institution within research and education in chemistry. Our research excels internationally and we educate students to a wide variety of jobs in industry, academia, research institutions, schools and public administration.
Our research ranges from the core topics of chemistry to applied science within in environmental, health, energy and materials. The Department has extensive contacts with industry, research and educational institutions at home and abroad.
As partner in the Centre for Materials Science and Nanotechnology our researchers contributes to a significant interdisciplinary efforts in cooperation with the Department of Physics.
The Department of Chemistry has its own school laboratory as a great resource for teachers, public outreach and the didactics of chemistry Show more details...
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