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Lawrence Berkeley National Laboratory
Most recent job postings at Lawrence Berkeley National Laboratory
via Physics World Jobs
posted_at: 4 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Accelerator Technology and Applied Physics (ATAP, https://atap.lbl.gov/) Division has an opening for a Deputy of Applications and Projects, at the Physicist Staff Scientist or Physicist Senior Scientist level, to join the BELLA Center team.
In this role, you will be responsible for leading and developing applications of emerging... advanced laser-based accelerator technologies within
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Accelerator Technology and Applied Physics (ATAP, https://atap.lbl.gov/) Division has an opening for a Deputy of Applications and Projects, at the Physicist Staff Scientist or Physicist Senior Scientist level, to join the BELLA Center team.
In this role, you will be responsible for leading and developing applications of emerging... advanced laser-based accelerator technologies within the Berkeley Lab Laser Accelerator (BELLA) Center.This includes the development and integration of high-average power, ultra-short-pulse laser technology and plasma-based accelerator systems. As high-repetition rate (kHz) lasers with sufficient intensity to drive laser-plasma accelerators emerge, new controls, instrumentation, diagnostics, and methods must be developed to apply these lasers to advanced accelerator systems. Compact high-average power accelerator systems will enable applications using compact sources of radiation (from THz to gamma rays) and particles (electrons, positrons, protons, ions, and muons) for science, security, and industry. This position will lead and coordinate the current projects on the application of laser-plasma accelerators as well as develop future project opportunities.
The Deputy of Applications and Projects will serve as a member of the leadership team of the BELLA Center, working closely with ATAP Division management. You will build collaborative relationships with other Divisional and Laboratory programs, as well as collaborations outside of LBNL, both domestically and internationally. This position will lead a team of scientists, engineers, and technicians. Project work is a key component in this position, and the successful candidate will lead current projects and also collaborations that underlie future project opportunities.
This position will work collaboratively with BELLA Center and ATAP scientists, engineers, postdocs, technicians, and students, document and communicate results of work in peer-reviewed journal publications and oral presentations, and participate in meetings, conferences, and reviews.
What You Will Do:
• Provide leadership for BELLA Center applications and projects, including the involved personnel (scientists, postdoctoral fellows, professional staff, affiliates, and students);
• Develop new initiatives advancing a long-term research vision of advanced accelerators and a strategic plan aligned with DOE and national goals, in collaboration with Division and Laboratory leadership;
• Play a leadership role in planning, managing and performing forefront investigations in the development and application of laser-driven plasma accelerators;
• Foster strong relationships with partner divisions, laboratories and institutions, and effectively generate and manage project roles;
• Address management and resource challenges of a complex program;
• Ensure operational effectiveness and compliance of the program, working with Division staff;
• Maintain a safe working environment in the program, engaging staff and ensuring the proper safety processes and disposition of waste materials;
• Actively support the Lab’s commitment to stewardship and IDEA (inclusion, diversity, equity, and accountability) by following best practices; engaging staff at all levels; and through recruitment and promotion;
• Participate strongly in community planning and review activities;
• Disseminate personal and program experimental and research results via publications in refereed journals and presentations;
• Exercise independent judgment to solve complex problems using ingenuity, creativity, and scientific principles;
• Participate in BELLA Center and Divisional planning, and develop relationships and interact with staff in the Division, Laboratory and externally.
What is Required:
• Ph.D. in Experimental Physics or equivalent;
• Strong record of research accomplishments, as evidenced by scholarly publications, development of facilities, and funded research grants;
• Experience and demonstrated competence in the management of scientific projects and collaborative science with multidisciplinary teams;
• Recognized as an expert in the areas of advanced accelerators, short-pulse laser technology, control systems, and instrumentation;
• Knowledge of accelerator physics and awareness of the challenges of accelerator technology and the needs of users of accelerators;
• Demonstrated ability to provide technical direction and effective leadership to collaborations among a diverse group of scientists, engineers, and technical personnel;
• Successful track record of developing initiatives and programs, obtaining funding to support staff and the ability to develop and maintain an independent research program;
• Effective organizational, interpersonal and communication skills;
• Demonstrated ability to interact with a diverse group at management level, both internally and externally;
• Demonstrated ability to work independently with extremely high levels of technical knowledge, ingenuity, and creativity;
• Demonstrated ability to work and manage in a research group environment and prepare research results for publication and presentation at seminars and scientific meetings.
What is Required Senior Scientist:
• Recognized nationally and internationally as an authority and leader in one or more scientific or engineering areas who have made major contributions to the Laboratory and the broader scientific/engineering community through their leadership and creativity;
• Provides guidance to professionals in the same field and collaborates with professionals in other fields.
Salary:
At the Staff Scientist level, this position is expected to pay $13,446-$18,824. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
At the Senior Scientist level, this position is expected to pay $16,257-$22,760. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay;
• This position will be hired at the level commensurate with qualifications and years of experience at the Staff Scientist or Senior Scientist level;
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment;
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=253146 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
In this role, you will be responsible for leading and developing applications of emerging... advanced laser-based accelerator technologies within the Berkeley Lab Laser Accelerator (BELLA) Center.This includes the development and integration of high-average power, ultra-short-pulse laser technology and plasma-based accelerator systems. As high-repetition rate (kHz) lasers with sufficient intensity to drive laser-plasma accelerators emerge, new controls, instrumentation, diagnostics, and methods must be developed to apply these lasers to advanced accelerator systems. Compact high-average power accelerator systems will enable applications using compact sources of radiation (from THz to gamma rays) and particles (electrons, positrons, protons, ions, and muons) for science, security, and industry. This position will lead and coordinate the current projects on the application of laser-plasma accelerators as well as develop future project opportunities.
The Deputy of Applications and Projects will serve as a member of the leadership team of the BELLA Center, working closely with ATAP Division management. You will build collaborative relationships with other Divisional and Laboratory programs, as well as collaborations outside of LBNL, both domestically and internationally. This position will lead a team of scientists, engineers, and technicians. Project work is a key component in this position, and the successful candidate will lead current projects and also collaborations that underlie future project opportunities.
This position will work collaboratively with BELLA Center and ATAP scientists, engineers, postdocs, technicians, and students, document and communicate results of work in peer-reviewed journal publications and oral presentations, and participate in meetings, conferences, and reviews.
What You Will Do:
• Provide leadership for BELLA Center applications and projects, including the involved personnel (scientists, postdoctoral fellows, professional staff, affiliates, and students);
• Develop new initiatives advancing a long-term research vision of advanced accelerators and a strategic plan aligned with DOE and national goals, in collaboration with Division and Laboratory leadership;
• Play a leadership role in planning, managing and performing forefront investigations in the development and application of laser-driven plasma accelerators;
• Foster strong relationships with partner divisions, laboratories and institutions, and effectively generate and manage project roles;
• Address management and resource challenges of a complex program;
• Ensure operational effectiveness and compliance of the program, working with Division staff;
• Maintain a safe working environment in the program, engaging staff and ensuring the proper safety processes and disposition of waste materials;
• Actively support the Lab’s commitment to stewardship and IDEA (inclusion, diversity, equity, and accountability) by following best practices; engaging staff at all levels; and through recruitment and promotion;
• Participate strongly in community planning and review activities;
• Disseminate personal and program experimental and research results via publications in refereed journals and presentations;
• Exercise independent judgment to solve complex problems using ingenuity, creativity, and scientific principles;
• Participate in BELLA Center and Divisional planning, and develop relationships and interact with staff in the Division, Laboratory and externally.
What is Required:
• Ph.D. in Experimental Physics or equivalent;
• Strong record of research accomplishments, as evidenced by scholarly publications, development of facilities, and funded research grants;
• Experience and demonstrated competence in the management of scientific projects and collaborative science with multidisciplinary teams;
• Recognized as an expert in the areas of advanced accelerators, short-pulse laser technology, control systems, and instrumentation;
• Knowledge of accelerator physics and awareness of the challenges of accelerator technology and the needs of users of accelerators;
• Demonstrated ability to provide technical direction and effective leadership to collaborations among a diverse group of scientists, engineers, and technical personnel;
• Successful track record of developing initiatives and programs, obtaining funding to support staff and the ability to develop and maintain an independent research program;
• Effective organizational, interpersonal and communication skills;
• Demonstrated ability to interact with a diverse group at management level, both internally and externally;
• Demonstrated ability to work independently with extremely high levels of technical knowledge, ingenuity, and creativity;
• Demonstrated ability to work and manage in a research group environment and prepare research results for publication and presentation at seminars and scientific meetings.
What is Required Senior Scientist:
• Recognized nationally and internationally as an authority and leader in one or more scientific or engineering areas who have made major contributions to the Laboratory and the broader scientific/engineering community through their leadership and creativity;
• Provides guidance to professionals in the same field and collaborates with professionals in other fields.
Salary:
At the Staff Scientist level, this position is expected to pay $13,446-$18,824. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
At the Senior Scientist level, this position is expected to pay $16,257-$22,760. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay;
• This position will be hired at the level commensurate with qualifications and years of experience at the Staff Scientist or Senior Scientist level;
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment;
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=253146 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
via Postdoc.com
schedule_type: Full-time
Computational Mathematics Postdoctoral Scholar - 97729
Division: AM-Applied Mathematics and Computational Research
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Mathematics Postdoctoral Scholar to join the team.
The Scalable Solvers Group (SSG) has a Computational Mathematics Postdoctoral Scholar opening
Computational Mathematics Postdoctoral Scholar - 97729
Division: AM-Applied Mathematics and Computational Research
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Mathematics Postdoctoral Scholar to join the team.
The Scalable Solvers Group (SSG) has a Computational Mathematics Postdoctoral Scholar opening in the area of numerical methods for solving large-scale eigenvalue problems arising from nuclear structure calculations. The SSG focuses mainly on developing scalable numerical algorithms and high performance implementations to enable scientific discovery through advanced computing. The postdoc will participate in research activities related to the development of new algorithms and high performance implementations that can run efficiently on DOE leadership class computers such as the NERSC Perlmutter system.
What You Will Do:
• Develop efficient algorithms for solving large-scale eigenvalue problems arising from nuclear structure calculations.
• Develop machine learning techniques to refine eigenvector approximation.
• Implement algorithms in the MFDn nuclear structure calculation software package using multiple programming models (MPI/OpenMP/OpenACC, CUDA, Kokkos etc.).
• Optimize the performance of the eigensolver by reducing communication overhead, improving load balancing and data locality.
Additional Responsibilities as needed:
• Develop efficient algorithms for data reduction and analytics.
• Analyze the algorithmic complexity and parallel scalability of new computational approaches.
• Interact with physical scientists to deploy algorithms in application software.
What is Required:
• Requires a Phd in Mathematics, Computer Science, Physical sciences (physics, chemistry and materials science), Computational Science or Engineering within the last 3 years, with a strong background in numerical methods development and high performance computing.
• Knowledge of numerical linear algebra and iterative methods for solving large-scale eigenvalue problems.
• Knowledge of sparse matrix methods.
• The ability to program proficiently in a high-level programming language, such as C++/C/FORTRAN, and should have experience in parallel computing and be able to use MPI/OpenMP/OpenACC.
• Ability to communicate effectively.
• Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Desired Qualifications:
• Knowledge of performance optimization for scientific software.
• Familiar with quantum many-body eigenvalue problems.
• Knowledge and experience with machine learning techniques is a plus.
• The ability to program on GPUs using CUDA.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=250471 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
Division: AM-Applied Mathematics and Computational Research
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Mathematics Postdoctoral Scholar to join the team.
The Scalable Solvers Group (SSG) has a Computational Mathematics Postdoctoral Scholar opening in the area of numerical methods for solving large-scale eigenvalue problems arising from nuclear structure calculations. The SSG focuses mainly on developing scalable numerical algorithms and high performance implementations to enable scientific discovery through advanced computing. The postdoc will participate in research activities related to the development of new algorithms and high performance implementations that can run efficiently on DOE leadership class computers such as the NERSC Perlmutter system.
What You Will Do:
• Develop efficient algorithms for solving large-scale eigenvalue problems arising from nuclear structure calculations.
• Develop machine learning techniques to refine eigenvector approximation.
• Implement algorithms in the MFDn nuclear structure calculation software package using multiple programming models (MPI/OpenMP/OpenACC, CUDA, Kokkos etc.).
• Optimize the performance of the eigensolver by reducing communication overhead, improving load balancing and data locality.
Additional Responsibilities as needed:
• Develop efficient algorithms for data reduction and analytics.
• Analyze the algorithmic complexity and parallel scalability of new computational approaches.
• Interact with physical scientists to deploy algorithms in application software.
What is Required:
• Requires a Phd in Mathematics, Computer Science, Physical sciences (physics, chemistry and materials science), Computational Science or Engineering within the last 3 years, with a strong background in numerical methods development and high performance computing.
• Knowledge of numerical linear algebra and iterative methods for solving large-scale eigenvalue problems.
• Knowledge of sparse matrix methods.
• The ability to program proficiently in a high-level programming language, such as C++/C/FORTRAN, and should have experience in parallel computing and be able to use MPI/OpenMP/OpenACC.
• Ability to communicate effectively.
• Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Desired Qualifications:
• Knowledge of performance optimization for scientific software.
• Familiar with quantum many-body eigenvalue problems.
• Knowledge and experience with machine learning techniques is a plus.
• The ability to program on GPUs using CUDA.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
Notes:
• This is a full-time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=250471 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit https://covid.lbl.gov/ for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
via Jooble
posted_at: 13 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Data Science Post Baccalaureate Fellow to join an interdisciplinary team to work in geospatial analysis and computational healthcare.
The combined expertise and facilities of the Lawrence Berkeley National Laboratory and the collaboration with the Department of Veterans Affairs... offer a unique opportunity to accelerate the development
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Data Science Post Baccalaureate Fellow to join an interdisciplinary team to work in geospatial analysis and computational healthcare.
The combined expertise and facilities of the Lawrence Berkeley National Laboratory and the collaboration with the Department of Veterans Affairs... offer a unique opportunity to accelerate the development of predictive models of various health outcomes using vast amounts of heterogeneous data. You will work collaboratively with scientists at the Lab to become familiar with research concepts and procedures that contribute to the development of world-class research in healthcare, machine learning and data science with a visible impact on the community.
What You Will Do:
Learn from and collaborate with research personnel at LBNL.
Become familiar with concepts and procedures including high performance computing, machine learning methods, geospatial analysis, epidemiological studies, Geographic Information System (GIS).
Prepare reports, manuscripts and other documentation as needed for publication and/or for presentation at seminars and scientific conferences.
What is Required:
Strong knowledge of Python, Jupyter Notebooks, and Github.
Strong knowledge of data science and machine learning methods.
Strong knowledge of high-performance computing.
Strong knowledge of geospatial analysis and GIS.
Ability to think clearly and work in a focused and analytical manner.
Exceptional communication skills in written and oral forms.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
This full salary range of this position is between $19.50 to $31.22 per hour and is expected to pay between a targeted range of $22.00 to $28.29 per hour depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
This position has the option of working remotely. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
The combined expertise and facilities of the Lawrence Berkeley National Laboratory and the collaboration with the Department of Veterans Affairs... offer a unique opportunity to accelerate the development of predictive models of various health outcomes using vast amounts of heterogeneous data. You will work collaboratively with scientists at the Lab to become familiar with research concepts and procedures that contribute to the development of world-class research in healthcare, machine learning and data science with a visible impact on the community.
What You Will Do:
Learn from and collaborate with research personnel at LBNL.
Become familiar with concepts and procedures including high performance computing, machine learning methods, geospatial analysis, epidemiological studies, Geographic Information System (GIS).
Prepare reports, manuscripts and other documentation as needed for publication and/or for presentation at seminars and scientific conferences.
What is Required:
Strong knowledge of Python, Jupyter Notebooks, and Github.
Strong knowledge of data science and machine learning methods.
Strong knowledge of high-performance computing.
Strong knowledge of geospatial analysis and GIS.
Ability to think clearly and work in a focused and analytical manner.
Exceptional communication skills in written and oral forms.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
This full salary range of this position is between $19.50 to $31.22 per hour and is expected to pay between a targeted range of $22.00 to $28.29 per hour depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
This position has the option of working remotely. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
via Jooble
posted_at: 17 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Building Technology and Urban Systems Division has an opening for a Senior Research Associate to join the team.
The Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory (LBNL) is at the forefront of cutting-edge research that redefines industrial and building technology. For decades, we have been leaders in... developing energy-efficient windows, improving the nation's
Lawrence Berkeley National Lab’s (LBNL) Building Technology and Urban Systems Division has an opening for a Senior Research Associate to join the team.
The Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory (LBNL) is at the forefront of cutting-edge research that redefines industrial and building technology. For decades, we have been leaders in... developing energy-efficient windows, improving the nation's electricity grid, and exploring innovative technologies and solutions that increase energy efficiency of industrial and commercial buildings.
The Building & Industrial Applications Department works with organizations to drive the uptake of innovative solutions to energy and environmental problems. We’re committed to conducting research that supports the adoption of technologies that reduce the environmental footprint of an organization’s operations. We have an opening for a Senior Research Associate to join our team.
In this exciting role, you will assist with research in the fields of industrial (manufacturing and data center) energy and water efficiency at the corporate, state, and national levels. You will perform research assignments such as the collection, processing, and maintenance of energy and/or water-related data, conduct techno-economic analysis of energy and/or water using systems, and apply knowledge of engineering fundamentals to installed energy and/or water using systems. Duties include: conducting energy, GHG, and water assessments of manufacturing facilities and data centers; conducting engineering analyses of energy and/or water use systems; assisting in the preparation of reports and presentations to key stakeholders on findings. The Senior Research Associate is expected to exercise judgment within defined procedures and practices to determine appropriate action.
This position requires knowledge of mechanical, chemical, electrical, industrial, and/or process engineering as well as manufacturing and/or data center energy and water efficiency principles and terminology. This position requires the ability to apply this knowledge when collecting data, performing analysis, and writing reports of findings. This position requires self-study to understand and develop new concepts. The successful candidate will be a high performer that can quickly learn and apply new ideas and identify the correct questions and methods to apply when given a technical problem.
What You Will Do:
Conduct literature review, including synthesizing reports detailing research findings.
Develop data collection protocols for evaluating the energy, greenhouse gas emission, and water footprint of a facility and/or organization’s operations. Data may be collected from multiple sources (e.g., web research, literature review, interviews).
Collect, organize, and perform quality control on large data sets.
Conduct energy, GHG, and water assessments of data centers and manufacturing facilities
Conduct engineering analysis of manufacturing and data center process systems.
Execute data analysis protocol(s), producing graphical and written findings.
Contribute to resolution of research problems.
Contribute to written reports and papers on research.
Manufacturing systems and processes.
Data center systems and processes.
Measurement and verification of energy performance improvements.
Analysis in support of energy and water conservation.
Additional Responsibilities as needed:
Assist in program design for adoption of energy and water efficiency practices in the U.S.
Assist in providing technical assistance to facilities implementing energy and water management systems.
Assist with state, regional and/or national energy management program and/or policy implementation.
What is Required:
Bachelor’s degree in engineering and 2-5 years of work experience in sustainability, energy efficiency, environmental/energy technology, or related fields or equivalent experience.
Ability to work on short- and long-term analysis projects with close supervision.
Ability to work on multiple projects at once.
Ability to gather, analyze, and visualize qualitative and quantitative data.
Excellent written and verbal skills.
Experience in Python, R, Java, C++ or similar analysis tools.
Desired Qualifications:
Master’s degree in an engineering discipline.
Industrial Assessment Center certificate.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
This position is represented by a union for collective bargaining purposes.
The full salary range for this position is $62,316 - $96,432. The budgeted salary range that the Lab reasonably expects to pay for this position is $75,411-$83,349. Salary offers will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, and certifications, and also aligned with the internal peer group.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
The Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory (LBNL) is at the forefront of cutting-edge research that redefines industrial and building technology. For decades, we have been leaders in... developing energy-efficient windows, improving the nation's electricity grid, and exploring innovative technologies and solutions that increase energy efficiency of industrial and commercial buildings.
The Building & Industrial Applications Department works with organizations to drive the uptake of innovative solutions to energy and environmental problems. We’re committed to conducting research that supports the adoption of technologies that reduce the environmental footprint of an organization’s operations. We have an opening for a Senior Research Associate to join our team.
In this exciting role, you will assist with research in the fields of industrial (manufacturing and data center) energy and water efficiency at the corporate, state, and national levels. You will perform research assignments such as the collection, processing, and maintenance of energy and/or water-related data, conduct techno-economic analysis of energy and/or water using systems, and apply knowledge of engineering fundamentals to installed energy and/or water using systems. Duties include: conducting energy, GHG, and water assessments of manufacturing facilities and data centers; conducting engineering analyses of energy and/or water use systems; assisting in the preparation of reports and presentations to key stakeholders on findings. The Senior Research Associate is expected to exercise judgment within defined procedures and practices to determine appropriate action.
This position requires knowledge of mechanical, chemical, electrical, industrial, and/or process engineering as well as manufacturing and/or data center energy and water efficiency principles and terminology. This position requires the ability to apply this knowledge when collecting data, performing analysis, and writing reports of findings. This position requires self-study to understand and develop new concepts. The successful candidate will be a high performer that can quickly learn and apply new ideas and identify the correct questions and methods to apply when given a technical problem.
What You Will Do:
Conduct literature review, including synthesizing reports detailing research findings.
Develop data collection protocols for evaluating the energy, greenhouse gas emission, and water footprint of a facility and/or organization’s operations. Data may be collected from multiple sources (e.g., web research, literature review, interviews).
Collect, organize, and perform quality control on large data sets.
Conduct energy, GHG, and water assessments of data centers and manufacturing facilities
Conduct engineering analysis of manufacturing and data center process systems.
Execute data analysis protocol(s), producing graphical and written findings.
Contribute to resolution of research problems.
Contribute to written reports and papers on research.
Manufacturing systems and processes.
Data center systems and processes.
Measurement and verification of energy performance improvements.
Analysis in support of energy and water conservation.
Additional Responsibilities as needed:
Assist in program design for adoption of energy and water efficiency practices in the U.S.
Assist in providing technical assistance to facilities implementing energy and water management systems.
Assist with state, regional and/or national energy management program and/or policy implementation.
What is Required:
Bachelor’s degree in engineering and 2-5 years of work experience in sustainability, energy efficiency, environmental/energy technology, or related fields or equivalent experience.
Ability to work on short- and long-term analysis projects with close supervision.
Ability to work on multiple projects at once.
Ability to gather, analyze, and visualize qualitative and quantitative data.
Excellent written and verbal skills.
Experience in Python, R, Java, C++ or similar analysis tools.
Desired Qualifications:
Master’s degree in an engineering discipline.
Industrial Assessment Center certificate.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
This position is represented by a union for collective bargaining purposes.
The full salary range for this position is $62,316 - $96,432. The budgeted salary range that the Lab reasonably expects to pay for this position is $75,411-$83,349. Salary offers will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, and certifications, and also aligned with the internal peer group.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
via Jooble
posted_at: 11 days agoschedule_type: Full-time
Publish Date:
Thursday, February 23, 2023...
Archive Date:
Thursday, March 23, 2023
To event remaining 19 days
Job Category:
Science Engineering
Institution Classification/Type:
Research Laboratory
Institution/Company:
Lawrence Berkeley National Laboratory
Street Line 1:
1 Cyclotron Rd
City:
Berekeley
State/Province:
CA
Zip/Postal:
94720
Country:
United States of America
Job Announcement Text:
ALS Electrical Area Lead Engineer
Publish Date:
Thursday, February 23, 2023...
Archive Date:
Thursday, March 23, 2023
To event remaining 19 days
Job Category:
Science Engineering
Institution Classification/Type:
Research Laboratory
Institution/Company:
Lawrence Berkeley National Laboratory
Street Line 1:
1 Cyclotron Rd
City:
Berekeley
State/Province:
CA
Zip/Postal:
94720
Country:
United States of America
Job Announcement Text:
ALS Electrical Area Lead Engineer - 97285
Division: EG-Engineering
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Engineering Division (https://engineering.lbl.gov/) has an opening for an ALS Electrical Area Lead Engineer (EALE) to join the team.
In this exciting role, you will lead the Advanced Light Source (ALS, https://als.lbl.gov/) electrical engineering area, which is composed of several groups: Radiofrequency (RF), Magnets, Power Supplies, Electrical Coordination, Electronic Maintenance (EM), Electronic Installation (EI), and Electricians (matrixed from Facilities Division). The EALE will coordinate and define/propose operational and maintenance tasks and upgrades in the electrical area for all Advance Light Source (ALS) Division groups, which are responsible for the accelerators and beamlines.
The Advanced Light Source (ALS) at the Lawrence Berkeley National Lab (LBNL) is a 3rd generation synchrotron-based light source that provides high quality photon beams to approximately 40 beamlines and serves approximately 2,000 users/year. The ALS accelerator complex includes a LINAC, a booster ring, the main storage ring and the beam transfer-lines that interconnect them. Engineering responsibilities required to operate, maintain, and upgrade the accelerators and the beamlines are split into three main parts: mechanical engineering, controls and instrumentation, and electrical engineering. Each of these areas are coordinated and managed by a lead engineer from the Engineering Division matrixed to the ALS Division (specifically, the EALE is that leader for the electrical area). These leaders have direct supervisors in the Engineering division, but have the ALS Deputy Division for Accelerator Operations as their work lead.
The ALS is currently undergoing a major facility upgrade. Although this large project, named the ALS-U, is organizationally a Division independent from ALS, a significant part of ALS personnel is matrixed and involved at different levels of responsibility and time commitment. Therefore, EALE’s responsibilities also include coordination and management with the ALS-U project of resource sharing, activity prioritization, and hiring plan development and implementation. Depending on their background and time availability, the EALE may also assume direct responsibilities and roles in some of the ALS-U project areas.
As a member of the Engineering Division, the EALE can also assume managerial/supervisory roles in that division, compatibility with his/her/their time availability and other ALS responsibilities.
What You Will Do:
• Develop and partner with the group leaders, current and long-term strategic plans for upgrading ALS sub-systems, and to propose them to the ALS senior management for discussion and approval.
• Coordinate approved projects with the group leaders and prioritize the execution of projects.
• Provide ALS senior management with periodic updates on their execution status.
• Responsibilities in the ALS electrical engineering area include:
◦ Oversee electrical aerial maintenance and operational support activities required of the 24/7 national user facility.
◦ Identify weak areas and potential problems and to develop and undertake the appropriate mitigation activities.
◦ Provide highly innovative and ingenious technical solutions to complex problems, contributing to your sub-area expertise.
• Effectively interact and collaborate with the ALS, Engineering, and ALS-U Divisions.
• Establish and maintain an effective network with national and international scientific/engineering peers.
Additional Responsibilities as needed:
• Participation in groups and committees, including hiring, policy and strategic planning.
What is Required:
• Demonstrated experience in leading and managing technical groups.
• Demonstrated technical experience with operation of accelerators (or of similar complexity facilities) in general and specifically with one or more electrical subsystems required to operate them (e.g., RF, magnet power supplies, etc.).
• Ability to develop and propose strategic near/medium and long-term reliability and performance upgrades for the subsystems in the electrical area.
• Excellent communication skills and the ability to collaborate with other engineering staff, scientific staff, and the highest levels of ALS and LBNL management.
• BS degree in Engineering or Physics or a closely related field and at least 5 years, preferred at least 15 years of equivalent work experience.
Desired Qualifications:
• Working knowledge of accelerator physics is desirable, but not necessary.
• Advanced degree preferred.
• Ability to set priorities and coordinate operations activities and major accelerator projects in the electrical area.
Salary:
The full salary range of this position is between $10,063 to $24,153 per month and is expected to pay between a targeted range of $13,418 to $18,785 per month depending upon the candidate’s skills, knowledge, and abilities, including education, certifications, and years of experience.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=252305 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_f...) under 41 CFR 60-1.4.
Application Deadline:
Thursday, March 23, 2023
Selection Deadline:
Saturday, April 22, 2023
Current Status of Position:
Accepting Applicants
Attention To:
Human Resources
Street Line 1:
1 Cyclotron Rd
City:
Berkeley
State/Province:
CA
Zip/Postal Code:
94720
Country:
United States of America Show more details...
Thursday, February 23, 2023...
Archive Date:
Thursday, March 23, 2023
To event remaining 19 days
Job Category:
Science Engineering
Institution Classification/Type:
Research Laboratory
Institution/Company:
Lawrence Berkeley National Laboratory
Street Line 1:
1 Cyclotron Rd
City:
Berekeley
State/Province:
CA
Zip/Postal:
94720
Country:
United States of America
Job Announcement Text:
ALS Electrical Area Lead Engineer - 97285
Division: EG-Engineering
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Engineering Division (https://engineering.lbl.gov/) has an opening for an ALS Electrical Area Lead Engineer (EALE) to join the team.
In this exciting role, you will lead the Advanced Light Source (ALS, https://als.lbl.gov/) electrical engineering area, which is composed of several groups: Radiofrequency (RF), Magnets, Power Supplies, Electrical Coordination, Electronic Maintenance (EM), Electronic Installation (EI), and Electricians (matrixed from Facilities Division). The EALE will coordinate and define/propose operational and maintenance tasks and upgrades in the electrical area for all Advance Light Source (ALS) Division groups, which are responsible for the accelerators and beamlines.
The Advanced Light Source (ALS) at the Lawrence Berkeley National Lab (LBNL) is a 3rd generation synchrotron-based light source that provides high quality photon beams to approximately 40 beamlines and serves approximately 2,000 users/year. The ALS accelerator complex includes a LINAC, a booster ring, the main storage ring and the beam transfer-lines that interconnect them. Engineering responsibilities required to operate, maintain, and upgrade the accelerators and the beamlines are split into three main parts: mechanical engineering, controls and instrumentation, and electrical engineering. Each of these areas are coordinated and managed by a lead engineer from the Engineering Division matrixed to the ALS Division (specifically, the EALE is that leader for the electrical area). These leaders have direct supervisors in the Engineering division, but have the ALS Deputy Division for Accelerator Operations as their work lead.
The ALS is currently undergoing a major facility upgrade. Although this large project, named the ALS-U, is organizationally a Division independent from ALS, a significant part of ALS personnel is matrixed and involved at different levels of responsibility and time commitment. Therefore, EALE’s responsibilities also include coordination and management with the ALS-U project of resource sharing, activity prioritization, and hiring plan development and implementation. Depending on their background and time availability, the EALE may also assume direct responsibilities and roles in some of the ALS-U project areas.
As a member of the Engineering Division, the EALE can also assume managerial/supervisory roles in that division, compatibility with his/her/their time availability and other ALS responsibilities.
What You Will Do:
• Develop and partner with the group leaders, current and long-term strategic plans for upgrading ALS sub-systems, and to propose them to the ALS senior management for discussion and approval.
• Coordinate approved projects with the group leaders and prioritize the execution of projects.
• Provide ALS senior management with periodic updates on their execution status.
• Responsibilities in the ALS electrical engineering area include:
◦ Oversee electrical aerial maintenance and operational support activities required of the 24/7 national user facility.
◦ Identify weak areas and potential problems and to develop and undertake the appropriate mitigation activities.
◦ Provide highly innovative and ingenious technical solutions to complex problems, contributing to your sub-area expertise.
• Effectively interact and collaborate with the ALS, Engineering, and ALS-U Divisions.
• Establish and maintain an effective network with national and international scientific/engineering peers.
Additional Responsibilities as needed:
• Participation in groups and committees, including hiring, policy and strategic planning.
What is Required:
• Demonstrated experience in leading and managing technical groups.
• Demonstrated technical experience with operation of accelerators (or of similar complexity facilities) in general and specifically with one or more electrical subsystems required to operate them (e.g., RF, magnet power supplies, etc.).
• Ability to develop and propose strategic near/medium and long-term reliability and performance upgrades for the subsystems in the electrical area.
• Excellent communication skills and the ability to collaborate with other engineering staff, scientific staff, and the highest levels of ALS and LBNL management.
• BS degree in Engineering or Physics or a closely related field and at least 5 years, preferred at least 15 years of equivalent work experience.
Desired Qualifications:
• Working knowledge of accelerator physics is desirable, but not necessary.
• Advanced degree preferred.
• Ability to set priorities and coordinate operations activities and major accelerator projects in the electrical area.
Salary:
The full salary range of this position is between $10,063 to $24,153 per month and is expected to pay between a targeted range of $13,418 to $18,785 per month depending upon the candidate’s skills, knowledge, and abilities, including education, certifications, and years of experience.
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=252305 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_f...) under 41 CFR 60-1.4.
Application Deadline:
Thursday, March 23, 2023
Selection Deadline:
Saturday, April 22, 2023
Current Status of Position:
Accepting Applicants
Attention To:
Human Resources
Street Line 1:
1 Cyclotron Rd
City:
Berkeley
State/Province:
CA
Zip/Postal Code:
94720
Country:
United States of America Show more details...
via Jooble
posted_at: 18 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Computational Atmospheric Research Scientist to join the team.
In this exciting role, you will play an active role in developing new numerical algorithms and computational modeling capabilities for different types of fluid flows, including but not limited to atmospheric and/or... oceanic flows as well as particulate flows.
What
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Computational Atmospheric Research Scientist to join the team.
In this exciting role, you will play an active role in developing new numerical algorithms and computational modeling capabilities for different types of fluid flows, including but not limited to atmospheric and/or... oceanic flows as well as particulate flows.
What You Will Do:
Develop, implement, and test numerical algorithms for environmental flows including but not limited to atmospheric and oceanic flows, and particle-laden fluids.
Play an active role in the code development, testing and optimization of the ERF code for atmospheric flows.
Interact with researchers internal and external to LBL to explore and extend the applicability of new methodology.
Work in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists.
Author peer-reviewed journal articles and contribute to research proposals.
Participate in developing new funding initiatives as appropriate.
What is Required:
Ph.D. in Applied Mathematics, Physics, Computer Science, or the Physical Sciences/Engineering or equivalent.
Strong research background in applied mathematics, computational methods, and scientific computing.
Demonstrated expertise in multiphysics modeling of complex fluid, particle, and fluid-particle systems applied to atmospheric, oceanic, and particle-laden flows.
Demonstrated experience with large shared code bases such as AMReX and AMReX-based applications.
Demonstrated experience in scientific computing with C++.
Demonstrated experience in parallel computing for scientific applications on hybrid CPU / GPU systems.
Strong background in physics, applied mathematics, and/or materials science.
Keen interest in extending mathematical and scientific computing techniques to new problems.
Excellent verbal and written communication skills.
Ability to work productively both independently and as part of a diverse team.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full time, 3 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
This full salary range of this position is between $7,353 to $17,646 per month and is expected to pay between a targeted range of $9,804 to $13,724 per month depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work may be performed on-site or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
In this exciting role, you will play an active role in developing new numerical algorithms and computational modeling capabilities for different types of fluid flows, including but not limited to atmospheric and/or... oceanic flows as well as particulate flows.
What You Will Do:
Develop, implement, and test numerical algorithms for environmental flows including but not limited to atmospheric and oceanic flows, and particle-laden fluids.
Play an active role in the code development, testing and optimization of the ERF code for atmospheric flows.
Interact with researchers internal and external to LBL to explore and extend the applicability of new methodology.
Work in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists.
Author peer-reviewed journal articles and contribute to research proposals.
Participate in developing new funding initiatives as appropriate.
What is Required:
Ph.D. in Applied Mathematics, Physics, Computer Science, or the Physical Sciences/Engineering or equivalent.
Strong research background in applied mathematics, computational methods, and scientific computing.
Demonstrated expertise in multiphysics modeling of complex fluid, particle, and fluid-particle systems applied to atmospheric, oceanic, and particle-laden flows.
Demonstrated experience with large shared code bases such as AMReX and AMReX-based applications.
Demonstrated experience in scientific computing with C++.
Demonstrated experience in parallel computing for scientific applications on hybrid CPU / GPU systems.
Strong background in physics, applied mathematics, and/or materials science.
Keen interest in extending mathematical and scientific computing techniques to new problems.
Excellent verbal and written communication skills.
Ability to work productively both independently and as part of a diverse team.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full time, 3 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
This full salary range of this position is between $7,353 to $17,646 per month and is expected to pay between a targeted range of $9,804 to $13,724 per month depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work may be performed on-site or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
via Jooble
posted_at: 27 days agoschedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Scientific Data Division has an opening for an ML and Data Sciences Postdoctoral Scholar to join the team.
The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts. We perform focused research and... development in the areas of data driven modeling and analytics,
Lawrence Berkeley National Lab’s (LBNL) Scientific Data Division has an opening for an ML and Data Sciences Postdoctoral Scholar to join the team.
The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts. We perform focused research and... development in the areas of data driven modeling and analytics, scalable methods, data lifecycle and infrastructure, digital integrity, security, and privacy for scientific computing, and sustainable software engineering with deep science partnerships.
The Usable Data Systems (UDS) group in the Scientific Data Division has an immediate opening for a postdoc researcher who will join a team that is engaged in a wide array of research and development projects. In this exciting role, you will collaborate with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both nationally and internationally, on a wide range of software development and data science issues supporting the scientific mission.
What You Will Do:
Perform research on automation of scientific workflows in a variety of fields, such asmicroelectronics and environmental sciences, biosciences, etc.
Develop new methods and tools using Artificial Intelligence (AI) for automation and autonomous science, such as, self-driving experiments and self-guiding field observatories.
Disseminate research results by publishing and presenting in high-impact journals and top conferences in the field.
Additional Responsibilities as needed:
Develop approaches that incorporate newly developed visualization and dimension reduction methods.
Apply dimension reduction and feature detection, e.g., via topological data analysis, to high-dimensional diagnostics of machine learning models, such as loss functions.
Develop high-performance algorithms for visualization and data analysis of machine learning models.
What is Required:
PhD degree, within the last 3 years, in Computer Science, Applied Mathematics, or a related technical field including natural sciences.
Experience in one or more areas of scientific workflows, AI, data management, resource management.
Proficiency in Python and/or related languages.
Ability to publish in top journals and conferences.
Ability to conduct research in a highly collaborative environment.
Excellent verbal and written communication skills.
Desired Qualifications:
Proficiency in C++.
Experience in environment sciences, microelectronics, or other natural sciences.
Experience in developing open source software tools.
Experience with one or more of the machine learning libraries: PyTorch, Tensorflow, Jax.
Experience with large scale systems including HPC or cloud computing.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full-time, 5 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
This position is represented by a union for collective bargaining purposes.
The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts. We perform focused research and... development in the areas of data driven modeling and analytics, scalable methods, data lifecycle and infrastructure, digital integrity, security, and privacy for scientific computing, and sustainable software engineering with deep science partnerships.
The Usable Data Systems (UDS) group in the Scientific Data Division has an immediate opening for a postdoc researcher who will join a team that is engaged in a wide array of research and development projects. In this exciting role, you will collaborate with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both nationally and internationally, on a wide range of software development and data science issues supporting the scientific mission.
What You Will Do:
Perform research on automation of scientific workflows in a variety of fields, such asmicroelectronics and environmental sciences, biosciences, etc.
Develop new methods and tools using Artificial Intelligence (AI) for automation and autonomous science, such as, self-driving experiments and self-guiding field observatories.
Disseminate research results by publishing and presenting in high-impact journals and top conferences in the field.
Additional Responsibilities as needed:
Develop approaches that incorporate newly developed visualization and dimension reduction methods.
Apply dimension reduction and feature detection, e.g., via topological data analysis, to high-dimensional diagnostics of machine learning models, such as loss functions.
Develop high-performance algorithms for visualization and data analysis of machine learning models.
What is Required:
PhD degree, within the last 3 years, in Computer Science, Applied Mathematics, or a related technical field including natural sciences.
Experience in one or more areas of scientific workflows, AI, data management, resource management.
Proficiency in Python and/or related languages.
Ability to publish in top journals and conferences.
Ability to conduct research in a highly collaborative environment.
Excellent verbal and written communication skills.
Desired Qualifications:
Proficiency in C++.
Experience in environment sciences, microelectronics, or other natural sciences.
Experience in developing open source software tools.
Experience with one or more of the machine learning libraries: PyTorch, Tensorflow, Jax.
Experience with large scale systems including HPC or cloud computing.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
This is a full-time, 5 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
This position is represented by a union for collective bargaining purposes.
The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
via Postdoc.com
posted_at: 11 days agoschedule_type: Full-time
Geological Systems Postdoc - 97122
Division: GO-Energy Geosciences
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Energy Geosciences Division has an opening for a Postdoctoral Scholar to join the team.
In this exciting role, you will use in-house code to conduct coupled THMC analysis of geological systems for a wider range of applications, including nuclear waste disposal, CO2 sequestration, geothermal exploitation, and hydrocarbon
Geological Systems Postdoc - 97122
Division: GO-Energy Geosciences
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Energy Geosciences Division has an opening for a Postdoctoral Scholar to join the team.
In this exciting role, you will use in-house code to conduct coupled THMC analysis of geological systems for a wider range of applications, including nuclear waste disposal, CO2 sequestration, geothermal exploitation, and hydrocarbon recovery.
What You Will Do:
• Conduct numerical modeling of THM processes for a variety of geoscience applications, primarily for nuclear waste disposal.
• Analyze and estimate coupled processes such as multi-phase flow, poro-elasto-plasticity of swelling clay, hydrological constitutive relationship under high temperature.
• Collaborate with scientists in other fields such as hydrogeology, geomechanics, seismology, and geochemistry.
• Write peer-review journal articles and technical reports.
Additional Responsibilities as needed:
• Make necessary code modifications and enhancements.
What is Required:
• A recent Ph.D. in rock mechanics, petroleum engineering, geothermal engineering, reservoir engineering or equivalent discipline.
• Programming skills: FORTRAN, C/C++, and/or C#, Python.
• Expertise in modeling and analysis of coupled THM processes in geological media.
• Ability to work effectively in a team environment with a multidisciplinary group of scientists.
• Good verbal and written communication skills for effective collaboration and for writing peer-reviewed journal publications and technical reports.
Desired Qualifications:
• Knowledge of geochemistry.
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
• The monthly salary range for this position is $6,431.00 - $7,887.00 and is expected to start at $7,074.00. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-PhD Postdoctoral and/or related research experience.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=252925 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
Division: GO-Energy Geosciences
...
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Energy Geosciences Division has an opening for a Postdoctoral Scholar to join the team.
In this exciting role, you will use in-house code to conduct coupled THMC analysis of geological systems for a wider range of applications, including nuclear waste disposal, CO2 sequestration, geothermal exploitation, and hydrocarbon recovery.
What You Will Do:
• Conduct numerical modeling of THM processes for a variety of geoscience applications, primarily for nuclear waste disposal.
• Analyze and estimate coupled processes such as multi-phase flow, poro-elasto-plasticity of swelling clay, hydrological constitutive relationship under high temperature.
• Collaborate with scientists in other fields such as hydrogeology, geomechanics, seismology, and geochemistry.
• Write peer-review journal articles and technical reports.
Additional Responsibilities as needed:
• Make necessary code modifications and enhancements.
What is Required:
• A recent Ph.D. in rock mechanics, petroleum engineering, geothermal engineering, reservoir engineering or equivalent discipline.
• Programming skills: FORTRAN, C/C++, and/or C#, Python.
• Expertise in modeling and analysis of coupled THM processes in geological media.
• Ability to work effectively in a team environment with a multidisciplinary group of scientists.
• Good verbal and written communication skills for effective collaboration and for writing peer-reviewed journal publications and technical reports.
Desired Qualifications:
• Knowledge of geochemistry.
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
• The monthly salary range for this position is $6,431.00 - $7,887.00 and is expected to start at $7,074.00. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-PhD Postdoctoral and/or related research experience.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=252925 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4 Show more details...
via Jooble
schedule_type: Full-time
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Fellow - HPC for Computational Materials Science and Chemistry to join the team.
This position is focused on the development of algorithms and efficient implementation of first principle electronic structure methods in materials science and chemistry software... targeting leadership class HPC systems. The developments
Lawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Fellow - HPC for Computational Materials Science and Chemistry to join the team.
This position is focused on the development of algorithms and efficient implementation of first principle electronic structure methods in materials science and chemistry software... targeting leadership class HPC systems. The developments will be focused on ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.
The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.
What You Will Do:
Contribute to the development of massively parallel, GPU accelerated, algorithms for preexa- and exascale platforms in the area of computational physics, chemistry and materials science.
Contribute to the development of new, novel methods and approximations to reduce the computational complexity and scaling with system size of methods based on RPA, GW, RT-TDDFT and hybrid functionals for systems in the condensed phase.
Document work and results in the form of journal papers and conference proceedings.
Present work and results at scientific meetings and conferences.
Manage development effort for large scientific applications at the lab.
What is Required:
PhD degree in Computational Materials Sciences, Computational Chemistry and Physics, or a relevant field.
Strong fundamentals in high performance computing with focus on parallelization strategies and accelerators.
Strong fundamentals in computational materials sciences / chemistry methods for systems in the condensed phase.
Demonstrated experience in applying computational physics methodologies to materials science problems including many-body perturbation theory and hybrid density functional theory algorithms and codes.
Demonstrated ability to participate in and provide intellectual leadership to a cross-disciplinary team.
Excellent written and oral communication skills.
Desired Qualifications:
Knowledge of MPI, OpenMP, OpenACC and other parallel programming models.
Experience in programming GPU-accelerated architectures.
Experience with HPC application profiling/optimization methodologies.
Experience with HPC application debugging techniques and tools.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
Notes:
This is a full-time 2, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining purposes.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links: Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
This position is focused on the development of algorithms and efficient implementation of first principle electronic structure methods in materials science and chemistry software... targeting leadership class HPC systems. The developments will be focused on ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.
The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.
What You Will Do:
Contribute to the development of massively parallel, GPU accelerated, algorithms for preexa- and exascale platforms in the area of computational physics, chemistry and materials science.
Contribute to the development of new, novel methods and approximations to reduce the computational complexity and scaling with system size of methods based on RPA, GW, RT-TDDFT and hybrid functionals for systems in the condensed phase.
Document work and results in the form of journal papers and conference proceedings.
Present work and results at scientific meetings and conferences.
Manage development effort for large scientific applications at the lab.
What is Required:
PhD degree in Computational Materials Sciences, Computational Chemistry and Physics, or a relevant field.
Strong fundamentals in high performance computing with focus on parallelization strategies and accelerators.
Strong fundamentals in computational materials sciences / chemistry methods for systems in the condensed phase.
Demonstrated experience in applying computational physics methodologies to materials science problems including many-body perturbation theory and hybrid density functional theory algorithms and codes.
Demonstrated ability to participate in and provide intellectual leadership to a cross-disciplinary team.
Excellent written and oral communication skills.
Desired Qualifications:
Knowledge of MPI, OpenMP, OpenACC and other parallel programming models.
Experience in programming GPU-accelerated architectures.
Experience with HPC application profiling/optimization methodologies.
Experience with HPC application debugging techniques and tools.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
Notes:
This is a full-time 2, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining purposes.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links: Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 Show more details...
via Jooble
posted_at: 4 days agoschedule_type: Full-time
Lawrence Berkeley National Laboratory has an opening for a detail-oriented HR Shared Services Specialist to join our dynamic Human Resources Division. In this role, you will execute a variety of HR services through the HR Shared Service Center, ensuring service quality, accuracy, consistency, and effectiveness.
What You Will Do...
• Organize, manage, and execute a wide variety of complex HR services and/or processes related to the development and
Lawrence Berkeley National Laboratory has an opening for a detail-oriented HR Shared Services Specialist to join our dynamic Human Resources Division. In this role, you will execute a variety of HR services through the HR Shared Service Center, ensuring service quality, accuracy, consistency, and effectiveness.
What You Will Do...
• Organize, manage, and execute a wide variety of complex HR services and/or processes related to the development and operations of the HR Shared Service Center. Serve as the primary point of contact to oversee the effective execution of HR Shared Service Center services and specialized HR activities.
• Apply professional concepts to conduct analysis of current administrative systems and operations while performing daily tasks. Identify potential issues upon a review of various factors and exercise sound judgment in developing solutions and recommendations. Use discretion and sound judgment to communicate and escalate potential issues to the HR Service Center Manager.
• Develop working rapport with the Laboratory and University of California community and business partners (e.g., Badge Office, UCPath, other Campus Locations), while demonstrating excellent communications skills to further strengthen the perception of the HR Shared Service Center with a variety of stakeholders and constituents.
• Proactively look for continuous process improvement opportunities to ensure that processes, systems and procedures are as efficient, streamlined, and standardized as possible. Collect, track, and analyze data as well as feedback from customers (users) to assist in defining current and future state process flows. Serve as a process owner as assigned.
• Liaise with programmers and other technical staff to troubleshoot and resolve technical problems, determine methods for resolving issues as appropriate within defined procedures and practices, and deliver recommendations to HR Service Center Supervisor for program and process improvements.
• Interact with various leads to ensure efficient and effective process flow and completion of HR Shared Service Center activities.
What is Required:
• Bachelor’s degree and a minimum of 2 years of related experience with providing a range of customer service-based HR services in a business environment; or an equivalent combination of education and experience.
• Demonstrated experience providing advanced-level and specialized customer service-based HR support services within a shared services, service center, customer contact center, or other similar service delivery structure, with ability to apply applicable professional concepts to resolve a variety of issues within defined procedures and policies.
• Proven ability to independently determine appropriate courses of action to resolve a variety of moderately complex problems, establish priorities, and perform multiple assignments simultaneously within defined procedures and deadlines.
• Advanced level of computer skills with ability to use advanced features of various software programs, including Google Workspace, Microsoft Word, Excel, PowerPoint, and electronic mail/calendaring systems. Advanced-level experience with HR database programs and HR Case Management systems.
• Excellent customer service, interpersonal and communication skills; ability to establish collaborative working relationships and interact effectively and diplomatically with a broad range of personnel, including HR colleagues, Laboratory staff members (including scientists, engineers, administrative, and management), visitors, and external organizations.
Desired Qualifications:
• Familiarity with UCPath.
• Experience with applicable shared services technologies: self-service, case management, request ticket system, etc.
• Experience with PeopleSoft, Taleo and Service Now platforms.
• Professional and specialized HR service delivery experience in a scientific / technical / research environment.
• Program and/or project coordination skills.
Notes:
• For full consideration, please submit your resume and cover letter by 3/8/2023.
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
This position is expected to pay $82,728.00 - $91,920.00 annually, which fits within the full salary range of $73,524.00 - $124,092.00 for the H23.3 HR Shared Services Spec. Salary for this position will commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Create and manage profiles for future opportunities.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at View phone number on click.appcast.io, by email to View email address on click.appcast.io or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation Show more details...
What You Will Do...
• Organize, manage, and execute a wide variety of complex HR services and/or processes related to the development and operations of the HR Shared Service Center. Serve as the primary point of contact to oversee the effective execution of HR Shared Service Center services and specialized HR activities.
• Apply professional concepts to conduct analysis of current administrative systems and operations while performing daily tasks. Identify potential issues upon a review of various factors and exercise sound judgment in developing solutions and recommendations. Use discretion and sound judgment to communicate and escalate potential issues to the HR Service Center Manager.
• Develop working rapport with the Laboratory and University of California community and business partners (e.g., Badge Office, UCPath, other Campus Locations), while demonstrating excellent communications skills to further strengthen the perception of the HR Shared Service Center with a variety of stakeholders and constituents.
• Proactively look for continuous process improvement opportunities to ensure that processes, systems and procedures are as efficient, streamlined, and standardized as possible. Collect, track, and analyze data as well as feedback from customers (users) to assist in defining current and future state process flows. Serve as a process owner as assigned.
• Liaise with programmers and other technical staff to troubleshoot and resolve technical problems, determine methods for resolving issues as appropriate within defined procedures and practices, and deliver recommendations to HR Service Center Supervisor for program and process improvements.
• Interact with various leads to ensure efficient and effective process flow and completion of HR Shared Service Center activities.
What is Required:
• Bachelor’s degree and a minimum of 2 years of related experience with providing a range of customer service-based HR services in a business environment; or an equivalent combination of education and experience.
• Demonstrated experience providing advanced-level and specialized customer service-based HR support services within a shared services, service center, customer contact center, or other similar service delivery structure, with ability to apply applicable professional concepts to resolve a variety of issues within defined procedures and policies.
• Proven ability to independently determine appropriate courses of action to resolve a variety of moderately complex problems, establish priorities, and perform multiple assignments simultaneously within defined procedures and deadlines.
• Advanced level of computer skills with ability to use advanced features of various software programs, including Google Workspace, Microsoft Word, Excel, PowerPoint, and electronic mail/calendaring systems. Advanced-level experience with HR database programs and HR Case Management systems.
• Excellent customer service, interpersonal and communication skills; ability to establish collaborative working relationships and interact effectively and diplomatically with a broad range of personnel, including HR colleagues, Laboratory staff members (including scientists, engineers, administrative, and management), visitors, and external organizations.
Desired Qualifications:
• Familiarity with UCPath.
• Experience with applicable shared services technologies: self-service, case management, request ticket system, etc.
• Experience with PeopleSoft, Taleo and Service Now platforms.
• Professional and specialized HR service delivery experience in a scientific / technical / research environment.
• Program and/or project coordination skills.
Notes:
• For full consideration, please submit your resume and cover letter by 3/8/2023.
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
This position is expected to pay $82,728.00 - $91,920.00 annually, which fits within the full salary range of $73,524.00 - $124,092.00 for the H23.3 HR Shared Services Spec. Salary for this position will commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Create and manage profiles for future opportunities.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at View phone number on click.appcast.io, by email to View email address on click.appcast.io or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation Show more details...
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