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Most recent job postings at Universiteit van Amsterdam
via AcademicTransfer
posted_at: 4 days ago
The University of Amsterdam invites applications for two PhD positions at the university's Research Centre for Longevity Risk. We are looking for talented and motivated researchers with a strong interest in the centre's research activities. Details about the research centre and projects we are working on can be found at rclr.nl. For the current vacancies we are looking for candidates who would contribute to one of the following projects:
• Effects
The University of Amsterdam invites applications for two PhD positions at the university's Research Centre for Longevity Risk. We are looking for talented and motivated researchers with a strong interest in the centre's research activities. Details about the research centre and projects we are working on can be found at rclr.nl. For the current vacancies we are looking for candidates who would contribute to one of the following projects:
• Effects of epidemics and pandemics on life expectancy;
• life expectancy at advanced ages;
• reinsurance of longevity risk;
• redesign of pension provisions;
• improved portfolios in response to changing survival rates.
Any research experience and expertise in one or more of those topics will be highly appreciated but is not a requirement. Candidates with a strong background in Actuarial Science, Econometrics, Statistics, (Applied) mathematics or related fields are encouraged to apply. The PhD candidate will be part of an interdisciplinary team... with access to state of the art research facilities.
The Research Centre for Longevity Risk is part of the Faculty of Economics and Business at the University of Amsterdam (UvA EB). Research at UvA EB covers the broad domain of econometrics, economics, business economics and business, and is organized in two large schools: the Amsterdam School of Economics and the Amsterdam Business School (ABS). The research centre is a joint initiative of the Amsterdam School of Economics and Nationale-Nederlanden. The successful candidates will be part of a team of UvA researchers at the centre who study developments in survival rates and life expectancy, how these developments are affected by a variety of factors, and how an increasing life span affects the economy and wider society. This includes the development of mathematical models for demographic trends and medical developments, as well as the impact of local socio-economic conditions and the quality of our living environment on longevity.
Tasks:
During the four-year PhD trajectory, you will follow PhD level courses, plan and conduct your PhD research and contribute to the teaching of the school's programmes.
Starting date of the position: as soon as possible Show more details...
• Effects of epidemics and pandemics on life expectancy;
• life expectancy at advanced ages;
• reinsurance of longevity risk;
• redesign of pension provisions;
• improved portfolios in response to changing survival rates.
Any research experience and expertise in one or more of those topics will be highly appreciated but is not a requirement. Candidates with a strong background in Actuarial Science, Econometrics, Statistics, (Applied) mathematics or related fields are encouraged to apply. The PhD candidate will be part of an interdisciplinary team... with access to state of the art research facilities.
The Research Centre for Longevity Risk is part of the Faculty of Economics and Business at the University of Amsterdam (UvA EB). Research at UvA EB covers the broad domain of econometrics, economics, business economics and business, and is organized in two large schools: the Amsterdam School of Economics and the Amsterdam Business School (ABS). The research centre is a joint initiative of the Amsterdam School of Economics and Nationale-Nederlanden. The successful candidates will be part of a team of UvA researchers at the centre who study developments in survival rates and life expectancy, how these developments are affected by a variety of factors, and how an increasing life span affects the economy and wider society. This includes the development of mathematical models for demographic trends and medical developments, as well as the impact of local socio-economic conditions and the quality of our living environment on longevity.
Tasks:
During the four-year PhD trajectory, you will follow PhD level courses, plan and conduct your PhD research and contribute to the teaching of the school's programmes.
Starting date of the position: as soon as possible Show more details...
via AcademicTransfer
posted_at: 5 days ago
Join the Amsterdam Business School at the University of Amsterdam (UvA) to shape the future of entrepreneurship research. We are seeking to nurture an ambitious and enthusiastic PhD candidate that will join our Entrepreneurship and Innovation section on September 1st, 2023.
Project description
"There's an essential, intangible something in start-ups-an energy, a soul. Company founders sense its presence. So do early employees and customers. It inspires
Join the Amsterdam Business School at the University of Amsterdam (UvA) to shape the future of entrepreneurship research. We are seeking to nurture an ambitious and enthusiastic PhD candidate that will join our Entrepreneurship and Innovation section on September 1st, 2023.
Project description
"There's an essential, intangible something in start-ups-an energy, a soul. Company founders sense its presence. So do early employees and customers. It inspires people to contribute their talent, money, and enthusiasm and fosters a sense of deep connection and mutual purpose."
(Gulati, R. 2019. The Soul of a Start-Up. Harvard Business Review)
Startups must obtain resources from a variety of stakeholders. This project is built around the idea that these stakeholders, including customers, employees, investors, and society at large, associate a unique and distinguishable character with organizations operating under the label "startup" (with variations including "tech startup", "AI startup... "scaleup", "unicorn", etc.). This is important because organizations, just like individuals, may either enjoy or suffer the consequences of being associated with certain labels and stereotypes. Regardless of other relevant considerations, simply being called a "startup" can therefore be linked with both positive and negative social evaluations. For example, cultural messages about startups associate these organizations with innovation, visionary leaders, and the underdog drive to disrupt industries. At the same time, however, startups may also and receive harsher judgments due to uncertainty about their underlying quality and potential or doubts about their legitimacy and credibility. This project aims to unpack the conditions under which the meaning associated with startup-related labels emerges and how such labels might independently shape evaluations and resource provision by different stakeholders. Answering such questions is crucial not only because it will contribute to theories of social evaluations in entrepreneurship and management, but also because the current hype around startups demands a better understanding of the power encapsulated in such labels, acknowledging their increasing strategic use (e.g., for competitive differentiation or persuasive stakeholder communication) and misuse (e.g., for stakeholder deception and other ethical lapses).
Key questions include:
• What are the set of meanings and expectations that different stakeholder groups associate with the startup label?
• how does the startup label shape interactions between entrepreneurs and different stakeholder groups, including resource acquisition from stakeholders?
• what are the implications of combining or replacing the startup label with other relevant labels (e.g., AI startup, unicorn, scaleup, etc.)?
Example sub-projects include:
• An exploration of the set of meanings and expectations implied by the startup label as well as the likelihood that this label is associated with different combinations of observed organizational attributes (e.g., location, size, age, demographic composition, growth stage, funding stage, industry sector, business model, etc.);
• looking into whether and how the startup label is used strategically by entrepreneurs when interacting with different stakeholder groups (e.g., job seekers vs. investors vs. customers vs. the wider public) or under different conditions (e.g., different countries and ecosystems or under varying economic climates), including the potential "dark side" of the startup label (e.g., when used for stakeholder deception or when it deters some people from engaging with the company);
• testing how the startup label interacts with other prominent labels (tech startups vs. AI startup vs. medical device startups) and the extent to which such combinatorial labels lead to different outcomes;
• assessing the reasons and implications of discarding the startup label (e.g., when transitioning from startup to scaleup)?
During your PhD, you will be trained to conduct primarily quantitative empirical research aimed at advancing entrepreneurship research in top-tier academic journals. You will also be an active member of a research lab focused on the study of startups. As a member of this lab within the Entrepreneurship and Innovation section, you will benefit from, and contribute to a broader research agenda, networks, initiatives, resources, and input from a larger group of experienced researchers.
Your tasks
• Become a member of a collaborative team;
• co-planning and conducting research (including the design of the studies, and the collection and analysis of empirical data);
• write up findings for publication in prestigious entrepreneurship and management journals;
• present research findings at leading international conferences;
• attend classes and seminars (including those offered at other universities) to further develop thinking and research skills;
• participate in and contribute to research activities at the section and lab (e.g., research seminars and research meetings);
• assist in relevant teaching and knowledge dissemination activities.
Expected outcome
• At least 3 manuscripts ready for submission to or already published in top academic journals (adequate collegial support and mentorship will be provided);
• placement at a research university in a tenure track position;
• continued collaboration with the lab and its members Show more details...
Project description
"There's an essential, intangible something in start-ups-an energy, a soul. Company founders sense its presence. So do early employees and customers. It inspires people to contribute their talent, money, and enthusiasm and fosters a sense of deep connection and mutual purpose."
(Gulati, R. 2019. The Soul of a Start-Up. Harvard Business Review)
Startups must obtain resources from a variety of stakeholders. This project is built around the idea that these stakeholders, including customers, employees, investors, and society at large, associate a unique and distinguishable character with organizations operating under the label "startup" (with variations including "tech startup", "AI startup... "scaleup", "unicorn", etc.). This is important because organizations, just like individuals, may either enjoy or suffer the consequences of being associated with certain labels and stereotypes. Regardless of other relevant considerations, simply being called a "startup" can therefore be linked with both positive and negative social evaluations. For example, cultural messages about startups associate these organizations with innovation, visionary leaders, and the underdog drive to disrupt industries. At the same time, however, startups may also and receive harsher judgments due to uncertainty about their underlying quality and potential or doubts about their legitimacy and credibility. This project aims to unpack the conditions under which the meaning associated with startup-related labels emerges and how such labels might independently shape evaluations and resource provision by different stakeholders. Answering such questions is crucial not only because it will contribute to theories of social evaluations in entrepreneurship and management, but also because the current hype around startups demands a better understanding of the power encapsulated in such labels, acknowledging their increasing strategic use (e.g., for competitive differentiation or persuasive stakeholder communication) and misuse (e.g., for stakeholder deception and other ethical lapses).
Key questions include:
• What are the set of meanings and expectations that different stakeholder groups associate with the startup label?
• how does the startup label shape interactions between entrepreneurs and different stakeholder groups, including resource acquisition from stakeholders?
• what are the implications of combining or replacing the startup label with other relevant labels (e.g., AI startup, unicorn, scaleup, etc.)?
Example sub-projects include:
• An exploration of the set of meanings and expectations implied by the startup label as well as the likelihood that this label is associated with different combinations of observed organizational attributes (e.g., location, size, age, demographic composition, growth stage, funding stage, industry sector, business model, etc.);
• looking into whether and how the startup label is used strategically by entrepreneurs when interacting with different stakeholder groups (e.g., job seekers vs. investors vs. customers vs. the wider public) or under different conditions (e.g., different countries and ecosystems or under varying economic climates), including the potential "dark side" of the startup label (e.g., when used for stakeholder deception or when it deters some people from engaging with the company);
• testing how the startup label interacts with other prominent labels (tech startups vs. AI startup vs. medical device startups) and the extent to which such combinatorial labels lead to different outcomes;
• assessing the reasons and implications of discarding the startup label (e.g., when transitioning from startup to scaleup)?
During your PhD, you will be trained to conduct primarily quantitative empirical research aimed at advancing entrepreneurship research in top-tier academic journals. You will also be an active member of a research lab focused on the study of startups. As a member of this lab within the Entrepreneurship and Innovation section, you will benefit from, and contribute to a broader research agenda, networks, initiatives, resources, and input from a larger group of experienced researchers.
Your tasks
• Become a member of a collaborative team;
• co-planning and conducting research (including the design of the studies, and the collection and analysis of empirical data);
• write up findings for publication in prestigious entrepreneurship and management journals;
• present research findings at leading international conferences;
• attend classes and seminars (including those offered at other universities) to further develop thinking and research skills;
• participate in and contribute to research activities at the section and lab (e.g., research seminars and research meetings);
• assist in relevant teaching and knowledge dissemination activities.
Expected outcome
• At least 3 manuscripts ready for submission to or already published in top academic journals (adequate collegial support and mentorship will be provided);
• placement at a research university in a tenure track position;
• continued collaboration with the lab and its members Show more details...
via AcademicTransfer
posted_at: 10 days ago
The department of Political Science is looking for new junior lecturers to teach tutorial courses in the bilingual Bachelor program. Links:
http://www.uva.nl/programmas/bachelors/politicologie/politicologie.html
http://www.uva.nl/disciplines/politicologie/onderwijs/onderwijs.html
What are you going to do
Junior lecturers will be mainly involved in teaching tutorial groups in academic and research skills for first- and second-year students in English
The department of Political Science is looking for new junior lecturers to teach tutorial courses in the bilingual Bachelor program. Links:
http://www.uva.nl/programmas/bachelors/politicologie/politicologie.html
http://www.uva.nl/disciplines/politicologie/onderwijs/onderwijs.html
What are you going to do
Junior lecturers will be mainly involved in teaching tutorial groups in academic and research skills for first- and second-year students in English and/or in Dutch. They are also mentors for first- and second-year students and assist the senior staff with assessment of large lecture courses.
You will:
• teach Dutch and / or English tutorials in various courses of the Political Science Bachelor, mostly in academic and research skills.
• mentor first and second year students.
• assist the senior staff with the assessment of large lecture courses. Show more details...
http://www.uva.nl/programmas/bachelors/politicologie/politicologie.html
http://www.uva.nl/disciplines/politicologie/onderwijs/onderwijs.html
What are you going to do
Junior lecturers will be mainly involved in teaching tutorial groups in academic and research skills for first- and second-year students in English and/or in Dutch. They are also mentors for first- and second-year students and assist the senior staff with assessment of large lecture courses.
You will:
• teach Dutch and / or English tutorials in various courses of the Political Science Bachelor, mostly in academic and research skills.
• mentor first and second year students.
• assist the senior staff with the assessment of large lecture courses. Show more details...
via AcademicTransfer
Project: Artificial Intelligence and Patterns of Influence in the Arts and Entertainment Industries
Are you interested in studying the arts and entertainment industries at the cross-section of business and computer science? The Entrepreneurship and Innovation section at the Amsterdam Business School of the University of Amsterdam (UvA) invites applications for a PhD position in the Entrepreneurship and Innovation department. We are looking for talented
Project: Artificial Intelligence and Patterns of Influence in the Arts and Entertainment Industries
Are you interested in studying the arts and entertainment industries at the cross-section of business and computer science? The Entrepreneurship and Innovation section at the Amsterdam Business School of the University of Amsterdam (UvA) invites applications for a PhD position in the Entrepreneurship and Innovation department. We are looking for talented PhD candidates with the ambition to work and succeed at the highest international academic level.
Project description
The arts and entertainment sectors, part of the creative and cultural industries, are characterized by a complex web of patterns of influence. These influence patterns can take many forms, such as the transfer of ideas and techniques between different (artistic) disciplines, the adoption of (aesthetic) styles and trends by different artists and organizations, and the flow of resources and funding between different... sectors. One of the key ways in which influence operates is through the fashioning, dissemination, and adoption of creative ideas. This means that influence relations are often characterized by a high degree of cross-pollination, with ideas and trends flowing freely between different sectors or disciplines. By examining the influence patterns between different cultural and creative disciplines - the data can take the form of text, static images, and/or video - we can better understand the mechanisms that drive the flow of ideas and techniques across diverse domains and identify the (key) drivers of innovation within and across sectors. For instance, directors and writers in the movie/TV industry may borrow elements from other films, art, or books to create new and original stories. Similarly, in the music industry, artists and musicians may draw inspiration from a wide range of sources, including other genres of music, art forms, and even technology. Blending different styles and influences can create new and innovative works and/or expand upon existing artistic traditions. Overall, the patterns of influence within the arts and entertainment industries are intricate, with new trends and styles emerging all the time. By studying these influence patterns, we can understand the factors that drive innovation and success within these industries, which may provide greater insights into how these factors can be harnessed to support entrepreneurship and growth. In addition, studying the influence relations can also shed light on the broader sociocultural forces that shape these industries, such as the role of entrepreneurs, cultural institutions, and commercial enterprises, the impact of technological innovation, and the influence of global trends and market forces.
This interdisciplinary project aims to better understand the factors that can explain innovation and entrepreneurial projects' success (and failures) by applying advanced computational machine learning approaches.
During your PhD, you will be trained to conduct quantitative empirical research aimed at advancing business and computer science research in top-tier academic journals and conferences. You will also be a member of a newly formed research lab: the Creative Industries (CI) Lab. As a member of the CI Lab within the Entrepreneurship and Innovation department, you will benefit from, and contribute to, the research agenda, networks, initiatives, resources, and the collegial environment in that Lab, as well as have the liberty to join one or more ongoing research projects carried out by members of our department.
What are you going to do?
• Develop novel multimodal deep learning approaches informed by the relevant business theories;
• Present research findings at prestigious business and computer science conferences and journals;
• Pursue and complete a PhD thesis within the appointed duration of four years;
• Attend classes and seminars (including those offered at other universities) to develop thinking and research skills further;
• Participate in and contribute to departmental research functions (PhD Day, research seminars, and research meetings);
• Assist in relevant teaching and knowledge dissemination activities Show more details...
Are you interested in studying the arts and entertainment industries at the cross-section of business and computer science? The Entrepreneurship and Innovation section at the Amsterdam Business School of the University of Amsterdam (UvA) invites applications for a PhD position in the Entrepreneurship and Innovation department. We are looking for talented PhD candidates with the ambition to work and succeed at the highest international academic level.
Project description
The arts and entertainment sectors, part of the creative and cultural industries, are characterized by a complex web of patterns of influence. These influence patterns can take many forms, such as the transfer of ideas and techniques between different (artistic) disciplines, the adoption of (aesthetic) styles and trends by different artists and organizations, and the flow of resources and funding between different... sectors. One of the key ways in which influence operates is through the fashioning, dissemination, and adoption of creative ideas. This means that influence relations are often characterized by a high degree of cross-pollination, with ideas and trends flowing freely between different sectors or disciplines. By examining the influence patterns between different cultural and creative disciplines - the data can take the form of text, static images, and/or video - we can better understand the mechanisms that drive the flow of ideas and techniques across diverse domains and identify the (key) drivers of innovation within and across sectors. For instance, directors and writers in the movie/TV industry may borrow elements from other films, art, or books to create new and original stories. Similarly, in the music industry, artists and musicians may draw inspiration from a wide range of sources, including other genres of music, art forms, and even technology. Blending different styles and influences can create new and innovative works and/or expand upon existing artistic traditions. Overall, the patterns of influence within the arts and entertainment industries are intricate, with new trends and styles emerging all the time. By studying these influence patterns, we can understand the factors that drive innovation and success within these industries, which may provide greater insights into how these factors can be harnessed to support entrepreneurship and growth. In addition, studying the influence relations can also shed light on the broader sociocultural forces that shape these industries, such as the role of entrepreneurs, cultural institutions, and commercial enterprises, the impact of technological innovation, and the influence of global trends and market forces.
This interdisciplinary project aims to better understand the factors that can explain innovation and entrepreneurial projects' success (and failures) by applying advanced computational machine learning approaches.
During your PhD, you will be trained to conduct quantitative empirical research aimed at advancing business and computer science research in top-tier academic journals and conferences. You will also be a member of a newly formed research lab: the Creative Industries (CI) Lab. As a member of the CI Lab within the Entrepreneurship and Innovation department, you will benefit from, and contribute to, the research agenda, networks, initiatives, resources, and the collegial environment in that Lab, as well as have the liberty to join one or more ongoing research projects carried out by members of our department.
What are you going to do?
• Develop novel multimodal deep learning approaches informed by the relevant business theories;
• Present research findings at prestigious business and computer science conferences and journals;
• Pursue and complete a PhD thesis within the appointed duration of four years;
• Attend classes and seminars (including those offered at other universities) to develop thinking and research skills further;
• Participate in and contribute to departmental research functions (PhD Day, research seminars, and research meetings);
• Assist in relevant teaching and knowledge dissemination activities Show more details...
via AcademicTransfer
posted_at: 21 days agoschedule_type: Full-time
The section Business Analytics of the Amsterdam Business School (University of Amsterdam) invites applications for a multidisciplinary PhD position in the field of healthcare management. The PhD project will be part of the Amsterdam Research Center for Health Economics (ARCHE). The student will collaborate with researchers from medicine, business, health sciences, and practitioners working in the Dutch healthcare system.
The project aims to contribute
The section Business Analytics of the Amsterdam Business School (University of Amsterdam) invites applications for a multidisciplinary PhD position in the field of healthcare management. The PhD project will be part of the Amsterdam Research Center for Health Economics (ARCHE). The student will collaborate with researchers from medicine, business, health sciences, and practitioners working in the Dutch healthcare system.
The project aims to contribute to what may be the most pressing problem that the healthcare system faces, namely, the staff shortage. Recent decades have seen a fall in productivity in care delivery, which means that less care is delivered per fte. The project will explore the use of new technologies, such as predictive analytics and AI, and established technologies from operations management and management information systems that have the potential to improve productivity. The objective is to understand what it takes to successfully integrate such technologies in... the complex environment of a healthcare system and how they can be used to deliver more care with fewer staff.
We are looking for candidates with the ambition to do impactful academic research applying sound research approaches to understand complex problems in society.
What are you going to do
The PhD position is a full-time position for a period of four years, salary is in accordance with fixed salaries prescribed by the Dutch labor agreements for universities.
The pressing shortages in the labor market for healthcare make it a necessity to look for ways to deliver more care with fewer staff. Various outcome measures show that the opposite has happened: in previous decades, productivity in healthcare has fallen. The project aims to contribute to the pursuit of increasing productivity, not by working harder, but by working smarter.
The design, control, and improvement of systems for delivering care are studied in the field of production and operations management. Theory and principles from this field are applied in almost every sector for creating dependable, safe, fast, flexible, and efficient production systems. Technology has always played a prominent role in improving operations. From the 1980s onwards, most industries have adopted IT and ERP (enterprise resource planning) systems and in the current decade, new technologies such as AI, robotics, IoT (internet of things), big data and the cloud are having a profound impact on how operations are run.
At face value, it is plausible that operations-management theory as well as established and emerging technologies may help in improving productivity in care delivery. Compared to other sectors, such practices and technologies are however underutilized in healthcare. This research project aims to study how much productivity can be gained by adopting these practices and technologies, and what technical modifications and infrastructure are necessary to make them effective in a healthcare context. The research will predominantly take the perspective of the field of operations management (including related disciplines such as systems and industrial engineering, operations research, and management information systems).
You will/tasks:
The PhD student will work in close collaboration with the supervisory team:
• studying and taking classes to improve research skills and deepen one's understanding of healthcare systems, operations management theory, and IT and management information systems;
• identifying relevant research questions and translating these to a sound research approach;
• publishing research results in international academic journals, and presenting them at international conferences;
• participating in and contributing to departmental research functions, including research seminars and research meetings;
• teaching-related activities, including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects.
As the project is part of the Amsterdam Research Center for Health Economics (ARCHE), the PhD student will also collaborate with practitioners working with hospitals, policy researchers and IT service providers to translate research findings to actionable interventions or policies.
Starting date of the position: preferably July 1, 2023 Show more details...
The project aims to contribute to what may be the most pressing problem that the healthcare system faces, namely, the staff shortage. Recent decades have seen a fall in productivity in care delivery, which means that less care is delivered per fte. The project will explore the use of new technologies, such as predictive analytics and AI, and established technologies from operations management and management information systems that have the potential to improve productivity. The objective is to understand what it takes to successfully integrate such technologies in... the complex environment of a healthcare system and how they can be used to deliver more care with fewer staff.
We are looking for candidates with the ambition to do impactful academic research applying sound research approaches to understand complex problems in society.
What are you going to do
The PhD position is a full-time position for a period of four years, salary is in accordance with fixed salaries prescribed by the Dutch labor agreements for universities.
The pressing shortages in the labor market for healthcare make it a necessity to look for ways to deliver more care with fewer staff. Various outcome measures show that the opposite has happened: in previous decades, productivity in healthcare has fallen. The project aims to contribute to the pursuit of increasing productivity, not by working harder, but by working smarter.
The design, control, and improvement of systems for delivering care are studied in the field of production and operations management. Theory and principles from this field are applied in almost every sector for creating dependable, safe, fast, flexible, and efficient production systems. Technology has always played a prominent role in improving operations. From the 1980s onwards, most industries have adopted IT and ERP (enterprise resource planning) systems and in the current decade, new technologies such as AI, robotics, IoT (internet of things), big data and the cloud are having a profound impact on how operations are run.
At face value, it is plausible that operations-management theory as well as established and emerging technologies may help in improving productivity in care delivery. Compared to other sectors, such practices and technologies are however underutilized in healthcare. This research project aims to study how much productivity can be gained by adopting these practices and technologies, and what technical modifications and infrastructure are necessary to make them effective in a healthcare context. The research will predominantly take the perspective of the field of operations management (including related disciplines such as systems and industrial engineering, operations research, and management information systems).
You will/tasks:
The PhD student will work in close collaboration with the supervisory team:
• studying and taking classes to improve research skills and deepen one's understanding of healthcare systems, operations management theory, and IT and management information systems;
• identifying relevant research questions and translating these to a sound research approach;
• publishing research results in international academic journals, and presenting them at international conferences;
• participating in and contributing to departmental research functions, including research seminars and research meetings;
• teaching-related activities, including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects.
As the project is part of the Amsterdam Research Center for Health Economics (ARCHE), the PhD student will also collaborate with practitioners working with hospitals, policy researchers and IT service providers to translate research findings to actionable interventions or policies.
Starting date of the position: preferably July 1, 2023 Show more details...
via Jobs - Quantum Delta NL
posted_at: 28 days agoschedule_type: Full-time
Projectleider MSc Quantum Computer Science at University of Amsterdam
Projectleider MSc Quantum Computer Science at University of Amsterdam
Show more details...
via NRC Carriere
posted_at: 7 days agoschedule_type: Full-time
Functieomschrijving
Are you interested in studying networks and using methodology at the cross-section of business analytics, econometrics and computer science? The Business Analytics section at the University of Amsterdam Business School invites applications for a PhD position in Network Statistics and Machine Learning. We are looking for candidates with the ambition to work and succeed at the highest international academic level.
The main topic
Functieomschrijving
Are you interested in studying networks and using methodology at the cross-section of business analytics, econometrics and computer science? The Business Analytics section at the University of Amsterdam Business School invites applications for a PhD position in Network Statistics and Machine Learning. We are looking for candidates with the ambition to work and succeed at the highest international academic level.
The main topic of research is network analysis and modelling using statistical and machine learning tools. Network data are ubiquitous in finance, social media, the economy, and business. Social networks play an increasingly important role in society. For example, the Reddit community WallStreetBets hyped the stock of GameStop (GME), causing a short squeeze and extremely volatile stock prices in early 2021. Similarly, statements made on social networks such as Twitter have been shown to impact public and voter opinions. Exemplifying how social networks... directly affect the economy, this project focusses on studying network data with a specific interest in modelling and understanding how networks change over time. Change detection in an online fashion is a challenging task in networks of large size, a common property of social networks.
In this research, the candidate will first investigate and develop interpretable network analysis approaches using statistical models and test them on real-life data. Then geometric deep learning approaches for the tasks like node classification, link prediction and graph classification will be developed with change detection ability. In the final phase of the project, the candidate should bring together two families of methods and design an optimized algorithm that is both interpretable and yields a high performance in network change detection.
The PhD student will work in close collaboration with the supervisory team and other faculty on the tasks.
The supervisory team will consist of dr. Inez Zwetsloot (ABS), dr. Simon Trimborn (ASE) and dr. Stevan Rudinac (ABS).
What are you going to do?
• Develop novel interpretable statistical models for network analysis;
• develop novel deep-learning approaches for node classification, link prediction, and community detection in network data;
• create open data and software tools for the envisioned network analysis tasks;
• present research findings at international conferences;
• write up findings for publication in international journals;
• pursue and complete a PhD thesis within the appointed duration of four years;
• attend classes and seminars (including those offered at other universities) to develop thinking and research skills further;
• participate in and contribute to departmental research functions (PhD Day, research seminars, and research meetings);
• assist in knowledge dissemination activities;
• participate in teaching-related activities (to a limited degree), including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects.
Functie-eisen
Formal requirements:
• Masters' degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (expected to finish by September 2023)
Task-related requirements:
• Excellent communication skills in English, both oral and written, ideally with experience writing for a scientific audience;
• willingness and motivation to independently formulate research projects and carry them through to completion;
• mathematical skills, data analytics skills, and a strong willingness to develop these skills further;
• excellent programming skills in one or more of the following languages: Python, R, C, C++;
• preferably experience with at least one of the following: network data analysis, deep learning libraries such as PyTorch or TensorFlow, timeseries modeling and prediction, high-performance computing.3
Additional requirements:
• Preference is given to candidates with some research experience (e.g., Master thesis and/or research assistant experience);
• strong commitment to methodological rigor and scientific integrity;
• energy and passion for statistics and machine learning;
• intellectual curiosity, eagerness to learn, and openness to criticism;
• willingness to participate in disseminating research results and valorization.
Bedrijfsomschrijving
About UvA
With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands.
About UvA Economics and Business
Education and research at UvA Economics and Business (EB) cover a wide range of fields, including economics, data science, business administration, business analytics, accountancy, control, econometrics, finance, and entrepreneurship. This is organized in 2 Schools: the Amsterdam Business School (ABS) and the Amsterdam School of Economics (ASE). Over 7,000 students are enrolled in our UvA Economics and Business programs, and around 500 employees provide education and support. You will primarily work in the Amsterdam Business School that acquired the triple-crown accreditation (AACSB, AMBA, EQUIS), awarded to only 1% of business schools worldwide.
• Find more information about Economics and Business on uva.nl/eb.
• Find more information about the Amsterdam Business School on abs.uva.nl.
• Find more information about the Amsterdam School of Economics on ase.uva.nl.
About the department
The department of Business Analytics of the Amsterdam Business School focuses on research in a wide range of areas of business analytics, including artificial intelligence, digital business, statistics and operations research.
The members of the department have published their research in the top-tier academic journals, such as Operations Research, Management Science, Mathematical Programming, Journal of Machine Learning Research.
The members of the section are also involved in teaching in undergraduate, master, and research master level programs, as well as in executive education, and uphold strong relationships with industry, business, and public sectors.
Our staff is associated with various research initiatives and platforms, e.g. the Analytics Academy, the brand new Analytics for a Better World initiative, the Institute of Business and Industrial Statistics (IBIS UvA).
Arbeidsvoorwaarden
The employment contract will be for four years with an initial period of 18 months, with an intermediate evaluation after 18 months and a possibility to extend it for 30 months (in total, four years). End-result should be a PhD thesis. An educational plan will be drafted that includes attendance of courses and (international) conferences. Preferred starting date is 1 September 2023.
The gross monthly salary will range from €2,541 in the first year to €3,247 in the last year. The Collective Labor Agreement for Dutch Universities is applicable.
Additionally, the University of Amsterdam offers excellent benefits and various schemes and regulations to promote a good work/life balance, such as:
• 232 hours of annual leave based on full-time employment;
• 8% holiday allowance and 8.3% end-of-year bonus;
• Solid pension scheme (ABP);
• Contribution to commuting expenses.
The compensation package is competitive at the European level and includes several secondary benefits. Favorable tax agreements may apply to non-Dutch applicants. To learn more about working at the University of Amsterdam, please check this link and uva.nl/working-at-eb.
What else do we offer?
• A function in which your own initiative and input are strongly valued;
• an enthusiastic and warm team that is open to new colleagues;
• collaboration opportunities in an active and vibrant research environment;
• an inspiring academic and international work environment at the center of Amsterdam;
• opportunities to visit international conferences and research centers;
• opportunity to work from home flexibly.
Meer informatie
Do you have any questions, or do you require additional information? Please contact: Dr. Inez Zwetsloot (i.m.zwetsloot@uva.nl Show more details...
Are you interested in studying networks and using methodology at the cross-section of business analytics, econometrics and computer science? The Business Analytics section at the University of Amsterdam Business School invites applications for a PhD position in Network Statistics and Machine Learning. We are looking for candidates with the ambition to work and succeed at the highest international academic level.
The main topic of research is network analysis and modelling using statistical and machine learning tools. Network data are ubiquitous in finance, social media, the economy, and business. Social networks play an increasingly important role in society. For example, the Reddit community WallStreetBets hyped the stock of GameStop (GME), causing a short squeeze and extremely volatile stock prices in early 2021. Similarly, statements made on social networks such as Twitter have been shown to impact public and voter opinions. Exemplifying how social networks... directly affect the economy, this project focusses on studying network data with a specific interest in modelling and understanding how networks change over time. Change detection in an online fashion is a challenging task in networks of large size, a common property of social networks.
In this research, the candidate will first investigate and develop interpretable network analysis approaches using statistical models and test them on real-life data. Then geometric deep learning approaches for the tasks like node classification, link prediction and graph classification will be developed with change detection ability. In the final phase of the project, the candidate should bring together two families of methods and design an optimized algorithm that is both interpretable and yields a high performance in network change detection.
The PhD student will work in close collaboration with the supervisory team and other faculty on the tasks.
The supervisory team will consist of dr. Inez Zwetsloot (ABS), dr. Simon Trimborn (ASE) and dr. Stevan Rudinac (ABS).
What are you going to do?
• Develop novel interpretable statistical models for network analysis;
• develop novel deep-learning approaches for node classification, link prediction, and community detection in network data;
• create open data and software tools for the envisioned network analysis tasks;
• present research findings at international conferences;
• write up findings for publication in international journals;
• pursue and complete a PhD thesis within the appointed duration of four years;
• attend classes and seminars (including those offered at other universities) to develop thinking and research skills further;
• participate in and contribute to departmental research functions (PhD Day, research seminars, and research meetings);
• assist in knowledge dissemination activities;
• participate in teaching-related activities (to a limited degree), including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects.
Functie-eisen
Formal requirements:
• Masters' degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (expected to finish by September 2023)
Task-related requirements:
• Excellent communication skills in English, both oral and written, ideally with experience writing for a scientific audience;
• willingness and motivation to independently formulate research projects and carry them through to completion;
• mathematical skills, data analytics skills, and a strong willingness to develop these skills further;
• excellent programming skills in one or more of the following languages: Python, R, C, C++;
• preferably experience with at least one of the following: network data analysis, deep learning libraries such as PyTorch or TensorFlow, timeseries modeling and prediction, high-performance computing.3
Additional requirements:
• Preference is given to candidates with some research experience (e.g., Master thesis and/or research assistant experience);
• strong commitment to methodological rigor and scientific integrity;
• energy and passion for statistics and machine learning;
• intellectual curiosity, eagerness to learn, and openness to criticism;
• willingness to participate in disseminating research results and valorization.
Bedrijfsomschrijving
About UvA
With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands.
About UvA Economics and Business
Education and research at UvA Economics and Business (EB) cover a wide range of fields, including economics, data science, business administration, business analytics, accountancy, control, econometrics, finance, and entrepreneurship. This is organized in 2 Schools: the Amsterdam Business School (ABS) and the Amsterdam School of Economics (ASE). Over 7,000 students are enrolled in our UvA Economics and Business programs, and around 500 employees provide education and support. You will primarily work in the Amsterdam Business School that acquired the triple-crown accreditation (AACSB, AMBA, EQUIS), awarded to only 1% of business schools worldwide.
• Find more information about Economics and Business on uva.nl/eb.
• Find more information about the Amsterdam Business School on abs.uva.nl.
• Find more information about the Amsterdam School of Economics on ase.uva.nl.
About the department
The department of Business Analytics of the Amsterdam Business School focuses on research in a wide range of areas of business analytics, including artificial intelligence, digital business, statistics and operations research.
The members of the department have published their research in the top-tier academic journals, such as Operations Research, Management Science, Mathematical Programming, Journal of Machine Learning Research.
The members of the section are also involved in teaching in undergraduate, master, and research master level programs, as well as in executive education, and uphold strong relationships with industry, business, and public sectors.
Our staff is associated with various research initiatives and platforms, e.g. the Analytics Academy, the brand new Analytics for a Better World initiative, the Institute of Business and Industrial Statistics (IBIS UvA).
Arbeidsvoorwaarden
The employment contract will be for four years with an initial period of 18 months, with an intermediate evaluation after 18 months and a possibility to extend it for 30 months (in total, four years). End-result should be a PhD thesis. An educational plan will be drafted that includes attendance of courses and (international) conferences. Preferred starting date is 1 September 2023.
The gross monthly salary will range from €2,541 in the first year to €3,247 in the last year. The Collective Labor Agreement for Dutch Universities is applicable.
Additionally, the University of Amsterdam offers excellent benefits and various schemes and regulations to promote a good work/life balance, such as:
• 232 hours of annual leave based on full-time employment;
• 8% holiday allowance and 8.3% end-of-year bonus;
• Solid pension scheme (ABP);
• Contribution to commuting expenses.
The compensation package is competitive at the European level and includes several secondary benefits. Favorable tax agreements may apply to non-Dutch applicants. To learn more about working at the University of Amsterdam, please check this link and uva.nl/working-at-eb.
What else do we offer?
• A function in which your own initiative and input are strongly valued;
• an enthusiastic and warm team that is open to new colleagues;
• collaboration opportunities in an active and vibrant research environment;
• an inspiring academic and international work environment at the center of Amsterdam;
• opportunities to visit international conferences and research centers;
• opportunity to work from home flexibly.
Meer informatie
Do you have any questions, or do you require additional information? Please contact: Dr. Inez Zwetsloot (i.m.zwetsloot@uva.nl Show more details...
via AcademicTransfer
Are you interested in developing state-of-the-art machine learning techniques, designing new algorithms, and being prepared to take-on impactful problems such as developing a real-life surgery schedule? The section Business Analytics at the Amsterdam Business School (University of Amsterdam) invites applications for a PhD position in Operations Research and Machine Learning. We are looking for talented PhD candidates with the ambition to work and
Are you interested in developing state-of-the-art machine learning techniques, designing new algorithms, and being prepared to take-on impactful problems such as developing a real-life surgery schedule? The section Business Analytics at the Amsterdam Business School (University of Amsterdam) invites applications for a PhD position in Operations Research and Machine Learning. We are looking for talented PhD candidates with the ambition to work and succeed at the highest international academic level.
What are you going to do?
Our project aims to leverage machine learning to develop better decision-support tools to improve healthcare processes. Healthcare is under increasing pressure, and healthcare practitioners cannot possibly oversee the effects of all their decisions. Bad planning and hasty decision-making can lead to unwanted side effects, such as high waiting times for the operating room or overcrowding in the recovery ward. We believe that many of these issues can be avoided by... suitably leveraging data in the planning and control of healthcare processes.
Instead of relying on simplifying assumptions to create elegant theoretical models, as used in much of the published research, we aim to develop data-driven models that are usable in practice and compliant with the current privacy regulations. The research will require a blend of data analytics and machine learning, to perform predictive modeling, and operations research, to do the mathematical modeling. A key starting point is to improve surgery scheduling by employing a comprehensive and recent dataset of real-life scenarios. The research will be done in collaboration with hospitals.
You will/tasks:
• studying and taking classes to improve research skills and deepen one's understanding of healthcare systems, operations management theory, and IT and management information systems;
• identifying relevant research questions and translating these into a sound research approach;
• publishing research results in international academic journals, and presenting them at international conferences;
• participating in and contributing to departmental research functions, including research seminars and research meetings;
• teaching-related activities, including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects Show more details...
What are you going to do?
Our project aims to leverage machine learning to develop better decision-support tools to improve healthcare processes. Healthcare is under increasing pressure, and healthcare practitioners cannot possibly oversee the effects of all their decisions. Bad planning and hasty decision-making can lead to unwanted side effects, such as high waiting times for the operating room or overcrowding in the recovery ward. We believe that many of these issues can be avoided by... suitably leveraging data in the planning and control of healthcare processes.
Instead of relying on simplifying assumptions to create elegant theoretical models, as used in much of the published research, we aim to develop data-driven models that are usable in practice and compliant with the current privacy regulations. The research will require a blend of data analytics and machine learning, to perform predictive modeling, and operations research, to do the mathematical modeling. A key starting point is to improve surgery scheduling by employing a comprehensive and recent dataset of real-life scenarios. The research will be done in collaboration with hospitals.
You will/tasks:
• studying and taking classes to improve research skills and deepen one's understanding of healthcare systems, operations management theory, and IT and management information systems;
• identifying relevant research questions and translating these into a sound research approach;
• publishing research results in international academic journals, and presenting them at international conferences;
• participating in and contributing to departmental research functions, including research seminars and research meetings;
• teaching-related activities, including undergraduate tutorials and the supervision of MSc and/or BSc thesis projects Show more details...
via Vacatures - Universiteit Van Amsterdam
posted_at: 5 days agoschedule_type: Full-time
Wil je werken in een inspirerende internationale omgeving en in een afwisselende functie met veel verantwoordelijkheid en impact? De Faculteit der Natuurwetenschappen, Wiskunde en Informatica (FNWI) staat midden in het Amsterdam Science Park. De FNWI is omgeven door kennisinstituten en zogenoemde spin off bedrijven die gestart zijn vanuit het onderzoek. Het is een knooppunt van vooraanstaand onderwijs, hoogwaardig onderzoek en kennisintensieve bedrijven.
Voor
Wil je werken in een inspirerende internationale omgeving en in een afwisselende functie met veel verantwoordelijkheid en impact? De Faculteit der Natuurwetenschappen, Wiskunde en Informatica (FNWI) staat midden in het Amsterdam Science Park. De FNWI is omgeven door kennisinstituten en zogenoemde spin off bedrijven die gestart zijn vanuit het onderzoek. Het is een knooppunt van vooraanstaand onderwijs, hoogwaardig onderzoek en kennisintensieve bedrijven.
Voor de Faculteit der Natuurwetenschappen, Wiskunde en Informatica zijn wij op zoek naar een Hoofd Planning & Control. Je bent de rechterhand van de directeur bedrijfsvoering, sparringpartner en adviseur van het faculteitsbestuur en speelt een sleutelrol in de planning- en controlcyclus van de faculteit.
Wat ga je doen?
• Je geeft leiding aan een team van drie controllers. Samen met hen ondersteun je de faculteit op het totale gebied van financieel beleid en advies.
• Je werkt mee aan P&C vraagstukken en je legt de verbinding tussen... financiën en onderwijs- en onderzoeksvraagstukken. Hierbij voorzie je je stakeholders van to-the-point adviezen met betrekking tot de (financiële) bedrijfsvoering;
• Je hebt een belangrijke rol in het overzien van trends en ontwikkelingen en het vertalen hiervan naar strategische besluiten en beleidsvorming;
• Je bent in staat om trends en ontwikkelingen in de cijfers van de faculteit om te zetten in begrijpelijke financiële analyses en beleidstukken voor de diverse betrokkenen;
• Je hebt een belangrijke rol in het overzien van trends en ontwikkelingen en het vertalen hiervan naar strategische besluiten en beleidsvorming;
• Je neemt deel aan diverse overlegstructuren binnen de faculteit;
Jouw profiel
Als Hoofd Planning & Control beschik je over het volgende profiel:
• Een afgeronde studie op wo-niveau op bedrijfseconomisch en/of bedrijfskundig terrein;
• Minimaal 5 jaar ervaring binnen een soortgelijke functie;
• Goede beheersing van de Nederlandse en Engelse taal, zowel mondeling als schriftelijk;
• Leidinggevende ervaring is een pre.
Competenties
• Je bent een gedreven professional met een grote mate van zelfstandigheid en affiniteit voor procesverbetering;
• Je zoekt graag de samenwerking met andere professionals in de organisatie op en hebt een goed gevoel voor bestuurlijke verhoudingen;
• Je bent een teamplayer en bruggenbouwer die in staat is om ‘to the point’ te communiceren en de boodschap aan te passen op de ontvanger;
• Je hebt een oplossingsgerichte houding en weet makkelijk te schakelen tussen hoofdlijnen en detailinformatie;
• Beschikt over uitstekende advies- en communicatievaardigheden (woord en schrift), met een flinke dosis overtuigingskracht.
Arbeidsvoorwaarden
De Faculteit Natuurwetenschappen, Wiskunde en Informatica biedt een contract voor een jaar met uitzicht op een dienstverband voor onbepaalde tijd. De functie heeft een omvang van 32-38 uur per week. Het bruto maandsalaris, gebaseerd op een 38-urige werkweek en afhankelijk van relevante werkervaring, varieert van € 5.506,- tot € 6.702,-. (schaal 13)
Daarnaast mag je rekenen op goede secundaire arbeidsvoorwaarden, zoals 8% vakantiegeld en een eindejaarsuitkering van 8,3%. Verder biedt de Universiteit van Amsterdam een goede balans tussen werk en privé (o.a. goede verlofregeling), ontwikkelingsmogelijkheden en een uitstekende pensioenregeling
De organisatie
De Universiteit van Amsterdam is de grootste universiteit van Nederland. Een intellectueel knooppunt met 34.000 studenten, 6.000 medewerkers en 3.000 promovendi. Verbonden door een cultuur van nieuwsgierigheid.
Medewerkers van de faculteit Natuurwetenschappen, Wiskunde en Informatica (FNWI) worden gedreven door een gedeelde passie om uit te vinden hoe de wereld in elkaar zit. De acht onderzoeksinstituten beslaan de hele breedte van de bètawetenschappen: van astronomie en natuurkunde, tot levens- en aardwetenschappen, moleculaire wetenschappen, wiskunde en de informatiewetenschappen. Of zij nu bezig zijn de oorsprong en bouwblokken van het leven te ontrafelen of aan de basis staan van de technologie voor de toekomst, ze vinden elkaar in een onbegrensde nieuwsgierigheid. Met zo’n 1.800 medewerkers zetten ze zich dagelijks in om kennis en nieuwsgierigheid over te brengen aan de ruim 8.000 studenten in de bachelor- en masteropleidingen die ze aanbieden op de Amsterdam Science Park campus. Zo leiden ze de volgende generatie van wetenschappers op en inspireren zij hen aan de start van hun eigen ontdekkingstocht.
Solliciteren
Public Search verzorgt de werving voor de Universiteit van Amsterdam. Heb je vragen of wil je solliciteren? Neem dan contact op met Melissa Anthonio op 06 386 90 104 of Sabine Root 06-289 31 992. Je cv mag je mailen naar manthonio@publicsearch.nl of sroot@publicsearch.nl
Als werkgever handhaaft de UvA een beleid van gelijke kansen. We vinden diversiteit belangrijk en zetten ons volledig in om een plek te zijn waar iedereen zich thuis voelt. We koesteren de onderzoekende geest en het doorzettingsvermogen en laten de ruimte om door te vragen. Bij ons vormen nieuwsgierigheid en creativiteit de heersende cultuur.
Wij stellen acquisitie niet op prijs Show more details...
Voor de Faculteit der Natuurwetenschappen, Wiskunde en Informatica zijn wij op zoek naar een Hoofd Planning & Control. Je bent de rechterhand van de directeur bedrijfsvoering, sparringpartner en adviseur van het faculteitsbestuur en speelt een sleutelrol in de planning- en controlcyclus van de faculteit.
Wat ga je doen?
• Je geeft leiding aan een team van drie controllers. Samen met hen ondersteun je de faculteit op het totale gebied van financieel beleid en advies.
• Je werkt mee aan P&C vraagstukken en je legt de verbinding tussen... financiën en onderwijs- en onderzoeksvraagstukken. Hierbij voorzie je je stakeholders van to-the-point adviezen met betrekking tot de (financiële) bedrijfsvoering;
• Je hebt een belangrijke rol in het overzien van trends en ontwikkelingen en het vertalen hiervan naar strategische besluiten en beleidsvorming;
• Je bent in staat om trends en ontwikkelingen in de cijfers van de faculteit om te zetten in begrijpelijke financiële analyses en beleidstukken voor de diverse betrokkenen;
• Je hebt een belangrijke rol in het overzien van trends en ontwikkelingen en het vertalen hiervan naar strategische besluiten en beleidsvorming;
• Je neemt deel aan diverse overlegstructuren binnen de faculteit;
Jouw profiel
Als Hoofd Planning & Control beschik je over het volgende profiel:
• Een afgeronde studie op wo-niveau op bedrijfseconomisch en/of bedrijfskundig terrein;
• Minimaal 5 jaar ervaring binnen een soortgelijke functie;
• Goede beheersing van de Nederlandse en Engelse taal, zowel mondeling als schriftelijk;
• Leidinggevende ervaring is een pre.
Competenties
• Je bent een gedreven professional met een grote mate van zelfstandigheid en affiniteit voor procesverbetering;
• Je zoekt graag de samenwerking met andere professionals in de organisatie op en hebt een goed gevoel voor bestuurlijke verhoudingen;
• Je bent een teamplayer en bruggenbouwer die in staat is om ‘to the point’ te communiceren en de boodschap aan te passen op de ontvanger;
• Je hebt een oplossingsgerichte houding en weet makkelijk te schakelen tussen hoofdlijnen en detailinformatie;
• Beschikt over uitstekende advies- en communicatievaardigheden (woord en schrift), met een flinke dosis overtuigingskracht.
Arbeidsvoorwaarden
De Faculteit Natuurwetenschappen, Wiskunde en Informatica biedt een contract voor een jaar met uitzicht op een dienstverband voor onbepaalde tijd. De functie heeft een omvang van 32-38 uur per week. Het bruto maandsalaris, gebaseerd op een 38-urige werkweek en afhankelijk van relevante werkervaring, varieert van € 5.506,- tot € 6.702,-. (schaal 13)
Daarnaast mag je rekenen op goede secundaire arbeidsvoorwaarden, zoals 8% vakantiegeld en een eindejaarsuitkering van 8,3%. Verder biedt de Universiteit van Amsterdam een goede balans tussen werk en privé (o.a. goede verlofregeling), ontwikkelingsmogelijkheden en een uitstekende pensioenregeling
De organisatie
De Universiteit van Amsterdam is de grootste universiteit van Nederland. Een intellectueel knooppunt met 34.000 studenten, 6.000 medewerkers en 3.000 promovendi. Verbonden door een cultuur van nieuwsgierigheid.
Medewerkers van de faculteit Natuurwetenschappen, Wiskunde en Informatica (FNWI) worden gedreven door een gedeelde passie om uit te vinden hoe de wereld in elkaar zit. De acht onderzoeksinstituten beslaan de hele breedte van de bètawetenschappen: van astronomie en natuurkunde, tot levens- en aardwetenschappen, moleculaire wetenschappen, wiskunde en de informatiewetenschappen. Of zij nu bezig zijn de oorsprong en bouwblokken van het leven te ontrafelen of aan de basis staan van de technologie voor de toekomst, ze vinden elkaar in een onbegrensde nieuwsgierigheid. Met zo’n 1.800 medewerkers zetten ze zich dagelijks in om kennis en nieuwsgierigheid over te brengen aan de ruim 8.000 studenten in de bachelor- en masteropleidingen die ze aanbieden op de Amsterdam Science Park campus. Zo leiden ze de volgende generatie van wetenschappers op en inspireren zij hen aan de start van hun eigen ontdekkingstocht.
Solliciteren
Public Search verzorgt de werving voor de Universiteit van Amsterdam. Heb je vragen of wil je solliciteren? Neem dan contact op met Melissa Anthonio op 06 386 90 104 of Sabine Root 06-289 31 992. Je cv mag je mailen naar manthonio@publicsearch.nl of sroot@publicsearch.nl
Als werkgever handhaaft de UvA een beleid van gelijke kansen. We vinden diversiteit belangrijk en zetten ons volledig in om een plek te zijn waar iedereen zich thuis voelt. We koesteren de onderzoekende geest en het doorzettingsvermogen en laten de ruimte om door te vragen. Bij ons vormen nieuwsgierigheid en creativiteit de heersende cultuur.
Wij stellen acquisitie niet op prijs Show more details...
via BeBee Nederland
posted_at: 2 days ago
The Clinical Psychology programme group of the University of Amsterdam has two vacancies for teaching positions. Depending on your experience and interest you will teach the clinically oriented courses (docent 4) or contribute to the clinically oriented courses and bachelor and master thesis supervision (docent 3). The Clinical Psychology (CP) programme group organises the introductory course in clinical psychology for first-year psychology students,
The Clinical Psychology programme group of the University of Amsterdam has two vacancies for teaching positions. Depending on your experience and interest you will teach the clinically oriented courses (docent 4) or contribute to the clinically oriented courses and bachelor and master thesis supervision (docent 3). The Clinical Psychology (CP) programme group organises the introductory course in clinical psychology for first-year psychology students, the clinical psychology specialization in the bachelor programme, and the master programme in clinical psychology. In addition, the CP programme group conducts fundamental research using methods and models from basic psychology to investigate psychopathology and runs clinical trials to inform clinical practice. What are you going to do As a teacher in the Clinical psychology programme group you will contribute to a broad range of courses in the clinical specialisation of the bachelor programme, and depending on the on your experience... also in the master clinical psychology. Click here information on the bachelor programme, here for information on the master programme, and here for information on the clinical psychology department. You will/tasks:
• Teach tutorials for clinical interviewing and therapeutic skills;
• supervise students on bachelor and master thesis;
• supervising students on their clinical internship;
• Support course coordination.
Requirements
You enjoy supervising groups of (international) students, you want to develop yourself as a teacher, and reflect on your own skills. You have excellent communication and social skills and you can work well in a team You have:
• A Msc in (clinical) psychology or related field;
• A minimal B1 level of Dutch, and a willingness to further improve;
• Preferably experience in clinical practice (at minimum completed a clinical internship); and preferably completed a "basisaantekening psychodiagnostiek" (BAPD).
For the Teacher 3 position you also have:
• At least 4 years of experience with academic teaching, preferably in clinical psychology;
• Preferably experience with individual thesis supervision (bachelor and master students);
• A teaching skills certification (BKO or Basiskwalificatie Onderwijs), or the willingness to enter a BKO trajectory.
Contract terms
For the 'docent 4' position we offer a temporary employment contract of 4 years (with 2 months probation). Depending on your experience, the minimum salary is €2960 and the maximum salary is €4670 gross per month based on a 38-hour working week, in keeping with salary scale 10. You will be given time for training and development (DOP). The DOP is meant to increase the future employability of beginning lecturers after their temporary employment. During the 4 years, you will follow several professionalisation courses with your colleagues within the FMG. For the 'docent 3' position we offer a temporary employment contract of one year, with the prospect of a permanent contract following a positive assessment and barring altered circumstances. Depending on your experience, the minimum salary is €3974 and the maximum salary is €5439 gross per month based on a 38-hour working week, in keeping with salary scale 11, as per the Collective Labour Agreement of Dutch Universities . We additionally offer an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UvA offers excellent possibilities for further professional development and education. What else do we offer
• a position in which initiative and input are highly valued
• an enthusiastic and warm team that is open to new colleagues
• an inspiring academic and international working environment in the heart of Amsterdam Show more details...
• Teach tutorials for clinical interviewing and therapeutic skills;
• supervise students on bachelor and master thesis;
• supervising students on their clinical internship;
• Support course coordination.
Requirements
You enjoy supervising groups of (international) students, you want to develop yourself as a teacher, and reflect on your own skills. You have excellent communication and social skills and you can work well in a team You have:
• A Msc in (clinical) psychology or related field;
• A minimal B1 level of Dutch, and a willingness to further improve;
• Preferably experience in clinical practice (at minimum completed a clinical internship); and preferably completed a "basisaantekening psychodiagnostiek" (BAPD).
For the Teacher 3 position you also have:
• At least 4 years of experience with academic teaching, preferably in clinical psychology;
• Preferably experience with individual thesis supervision (bachelor and master students);
• A teaching skills certification (BKO or Basiskwalificatie Onderwijs), or the willingness to enter a BKO trajectory.
Contract terms
For the 'docent 4' position we offer a temporary employment contract of 4 years (with 2 months probation). Depending on your experience, the minimum salary is €2960 and the maximum salary is €4670 gross per month based on a 38-hour working week, in keeping with salary scale 10. You will be given time for training and development (DOP). The DOP is meant to increase the future employability of beginning lecturers after their temporary employment. During the 4 years, you will follow several professionalisation courses with your colleagues within the FMG. For the 'docent 3' position we offer a temporary employment contract of one year, with the prospect of a permanent contract following a positive assessment and barring altered circumstances. Depending on your experience, the minimum salary is €3974 and the maximum salary is €5439 gross per month based on a 38-hour working week, in keeping with salary scale 11, as per the Collective Labour Agreement of Dutch Universities . We additionally offer an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UvA offers excellent possibilities for further professional development and education. What else do we offer
• a position in which initiative and input are highly valued
• an enthusiastic and warm team that is open to new colleagues
• an inspiring academic and international working environment in the heart of Amsterdam Show more details...
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