Computational Science Postdoctoral Fellow
- Employer
- Lawrence Berkeley National Laboratory
- Location
- San Francisco, CA
- Closing date
- Jun 24, 2022
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Computational Science Postdoctoral Fellow - 95421
Organization: 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 Science Postdoctoral Fellow to join the team.
In this exciting role, you will participate in research and development of state-of-the-art techniques and algorithms for sparse matrix computation. The position is funded by the exciting and successful DOE Scientific Discovery through Advanced Computing (SciDAC) Program, which promotes collaborations among applied mathematicians, computer scientists, and domain scientists to tackle important science problems. As a participant of the SciDAC Program, you will not only have an opportunity to work with other algorithm developers, but also collaboratively with domain scientists to solve problems on large-scale computational platforms.
What You Will Do:
• Participate in research activities related to the development of advanced techniques for the solution of large sparse systems of linear equations using direct methods and other approaches on advanced computer architectures.
• Analysis of the performance profile and algorithmic complexity of existing algorithms and their implementations.
• Improvement of the efficiency and reliability of existing algorithms.
• Development of novel computational algorithms on high-performance computer architectures.
• Interact with domain scientists and apply the research developed to large-scale modeling and simulation.
What is Required:
• Ph.D. within the last 3 years in Computer Science, Mathematics, Computational Science, or related disciplines.
• Knowledge of advanced numerical methods, including matrix computation.
• Understanding of challenges in sparse matrix computation.
• Experience in using numerical methods for solving science and engineering problems.
• Demonstrated expertise in data structures, high performance computing, and parallel computing (including computing on GPU's).
• Excellent communication skills.
Desired Qualifications:
• Knowledge of graph theory.
Notes:
• This is a full-time, 1 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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 or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=227430 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.
jeid-b7b58d271327c04a8c039344b57b8bac
Organization: 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 Science Postdoctoral Fellow to join the team.
In this exciting role, you will participate in research and development of state-of-the-art techniques and algorithms for sparse matrix computation. The position is funded by the exciting and successful DOE Scientific Discovery through Advanced Computing (SciDAC) Program, which promotes collaborations among applied mathematicians, computer scientists, and domain scientists to tackle important science problems. As a participant of the SciDAC Program, you will not only have an opportunity to work with other algorithm developers, but also collaboratively with domain scientists to solve problems on large-scale computational platforms.
What You Will Do:
• Participate in research activities related to the development of advanced techniques for the solution of large sparse systems of linear equations using direct methods and other approaches on advanced computer architectures.
• Analysis of the performance profile and algorithmic complexity of existing algorithms and their implementations.
• Improvement of the efficiency and reliability of existing algorithms.
• Development of novel computational algorithms on high-performance computer architectures.
• Interact with domain scientists and apply the research developed to large-scale modeling and simulation.
What is Required:
• Ph.D. within the last 3 years in Computer Science, Mathematics, Computational Science, or related disciplines.
• Knowledge of advanced numerical methods, including matrix computation.
• Understanding of challenges in sparse matrix computation.
• Experience in using numerical methods for solving science and engineering problems.
• Demonstrated expertise in data structures, high performance computing, and parallel computing (including computing on GPU's).
• Excellent communication skills.
Desired Qualifications:
• Knowledge of graph theory.
Notes:
• This is a full-time, 1 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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 or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=227430 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.
jeid-b7b58d271327c04a8c039344b57b8bac
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