2022 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

1 Cyclotron Road, Berkeley, CA

Applications have closed
Lawrence Berkeley National Lab logo

Lawrence Berkeley National Lab

Find more jobs like this

2022 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences - 93892

Organization:  AC-Computing


Luis J. Alvarez Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences


The Computing Sciences Area at Lawrence Berkeley National Laboratory 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, or any computational science discipline who have received their Ph.D. no earlier than January 1, 2019 are encouraged to apply.  Only one (1) application is needed and it will be considered for both postdoctoral fellowships.


The successful applicants 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.


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, and computational sciences. The Admiral Grace Hopper Fellowship (go.lbl.gov/hopper) was first awarded in 2015 with the goal of enabling early career scientists to make outstanding contributions in 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, 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

• Advancing extreme-scale scientific data management, analysis, and machine-learning

• Developing next-generation machine learning and AI approaches for science

• Advancing quantum computing technologies, software, algorithms and applications

• Evaluating or developing new and promising HPC systems and networking technologies

• Researching methods to control and manage dynamic circuit networks

• Developing large-scale visualization and analytics technologies

• Managing scientific data in distributed environments.


What is Required:

• Requires a Ph.D. in computer science, mathematics, computational science, or related discipline

• Candidates must have received their Ph.D. within the last three years

• 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 including: solid publication record, high citations, • 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


Desired Qualifications:

• Knowledge of advanced computing and high-performance computing


Application Process:

For consideration, applications are due November 22, 2021.


There is a multi-step application process:

1.  Submit a full and complete application, including the names and contact information for references.

2.  As part of your application process, you must upload and submit the following materials: with your online application.

   • CV/Resume

   • Cover Letter

   • Research Statement (should be no more than five (5) pages in length)

   • Publications List

3.  Three (3) Letters of Reference must be submitted directly from three individual letter writers on your behalf (due November 29, 2021). You are required to use the template Letter of Reference Template to send requests for your letters to your letter writers. The template provides instructions for letter writers regarding where to return the letter and outlines the required deadline.

4.  Application deadline: November 22, 2021. However, your letters of reference must be received by the Lab directly from your letter-writers by November 29, 2021. We recommend that you give advance notice of the deadlines to your letter-writers.

• 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.



• 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.

• The selected candidates will be offered either the Luis J. Alvarez Fellowship or the Admiral Grace M. Hopper Fellowship based on their research focus.

• 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. 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 will be primarily performed at: Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA.


How To Apply

Apply directly online at 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.


Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) 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.

Tags: Data analysis Machine Learning Research

Perks/benefits: Career development Competitive pay Equity Relocation support

Region: North America
Job stats:  116  9  0
Category: Research Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.