2024 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences
- Lawrence Berkeley National Laboratory
- Location: Berkeley, CA
- Job Number: 7162194 (Ref #: 90167)
- Posting Date: Aug 16, 2023
- Salary / Pay Rate: $11,493/month.
- Application Deadline: Oct 2, 2023
Luis J. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences
The Computing Sciences Area (https://cs.lbl.gov/) at Lawrence Berkeley National Laboratory (https://www.lbl.gov) is now accepting applications for two distinguished postdoctoral fellowships in Computing Sciences:
• Luis W. Alvarez Postdoctoral Fellowship, and
• Admiral Grace M. Hopper Postdoctoral Fellowship.
Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. no earlier than January 1, 2021 but no later than September 30, 2024 are encouraged to apply. Only one (1) application is needed and it will be considered for both postdoctoral fellowships.
The successful applicants must be able to join Berkeley Lab by December 1, 2024. They will work with a research group within the Computing Sciences Area and receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the dynamic San Francisco Bay Area. This is a two-year postdoctoral appointment with the possibility of renewal and/or conversion to a Career or Term Research Scientist position based upon appropriate division review and approval, job performance, continuing availability of funds, and ongoing operational needs.
Since its founding in 2002, Berkeley Lab’s Luis W. Alvarez Postdoctoral Fellowship (go.lbl.gov/alvarez) has cultivated exceptional early career scientists who have gone on to make outstanding contributions to computer science, mathematics, data science, and computational sciences. The Admiral Grace Hopper Postdoctoral Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in computer science and high performance computing (HPC) research.
About Computing Sciences at Berkeley Lab:
Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of applied mathematics, computer science, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as astrophysics and cosmology, accelerator physics, chemical science and materials science, combustion, fusion energy, nuclear physics, biology, climate change, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to:
• Developing scientific applications and software technologies for extreme-scale and energy-efficient computing
• Developing mathematical modeling for complex scientific problems
• Designing algorithms to improve the performance of scientific applications
• Researching digital and post-digital computer architectures for science
• Developing and advancing extreme-scale scientific data management, analysis, and visualization
• Developing and advancing next-generation machine learning, AI, and data science approaches for science
• Advancing quantum computing and networking technologies, software, algorithms and applications
• Evaluating or developing new and promising HPC systems and networking technologies
• Researching methods to control and manage next-generation networks
• Managing scientific data and workflows in distributed environments
• Requires a Ph.D. in computer science, mathematics, computational science, or related discipline
• Candidates must have received their Ph.D. no earlier than January 1, 2021 but no later than September 30, 2024, and should be able to join Berkeley Lab by December 1, 2024
• Expertise with advanced algorithms, software techniques, HPC systems and/or networking in a related research field
• Demonstrated creativity and the ability to perform independent research
• Demonstrated excellence in a related research field
• Ability to develop new cross-disciplinary partnerships that use advanced computational and/or mathematical techniques to produce unique lab capabilities
• Excellent communication skills with the ability to facilitate communications and collaborations with internal and external stakeholders
Additional Desired Qualifications:
• Knowledge of advanced computing and high-performance computing
1. As part of your application process, you must upload and submit the following materials with your online application.
1. Cover letter
2. CV, with publication list included
3. Research Statement (no more than five (5) pages in length when printed using standard letter-size (8.5 inch x 11 inch) paper with 1-inch margins (top, bottom, left, and right) and a font size not smaller than 11 point; figures and references cited, if included, must fit within the five-page limit)
4. Contact information (name, affiliation, and email address) of at least three (3) individuals who will be able to provide letters of reference.
2. Application deadline: October 2, 2023.
* It is highly advisable that you have all the required application materials and information ready and available prior to completing and submitting your application. Your application will not be considered complete if any of the above information is missing.
Tentative Application Timeline:
The Computing Sciences Fellowship Selection Committee is made up of a diverse representation of scientists and engineers across Berkeley Lab’s Computing Sciences Area who will conduct a thorough review of all applications received.
• Application deadline: October 2, 2023
• Review and Selection: October 2023 - December 2023
• Decisions made: January/February 2024
• The selected candidates will be offered either the Luis J. Alvarez Postdoctoral Fellowship or the Admiral Grace M. Hopper Postdoctoral Fellowship based on their research focus.
• This position is expected to pay $11,493/month.
• This position is represented by a union for collective bargaining purposes.
• This position may be subject to a background check. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position.
• Work may be performed on-site, or hybrid. Work must be performed within the United States.
How To Apply
Apply directly online at http://18.104.22.168/counter.php?id=265831 and follow the on-line instructions to complete the application process.
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.