2027 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships
About the Fellowships
The Computing Sciences Area at Lawrence Berkeley National Laboratory is accepting applications for two distinguished postdoctoral fellowships: the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace M. Hopper Postdoctoral Fellowship. Only one application is needed, and it will be considered for both fellowships. Fellows will participate in research activities in computer science, mathematics, data science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab, applying advances in these fields to computational modeling, simulations, and advanced data analytics for scientific discovery across domains including materials science, biology, astronomy, environmental science, energy, particle physics, and genomics. Fellows also develop and optimize scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab.
Research Areas
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
Qualifications
- Requires a Ph.D. in computer science, mathematics, computational science, or related discipline
- Candidates must have no more than 3 years of Postdoctoral Researcher or similar experience
- 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
Application Materials
As part of your application process, you must upload and submit the following materials with your online application:
- Cover letter
- CV, with publication list included
- Research Statement (no more than five pages in length when printed using standard letter-size paper with 1-inch margins and a font size not smaller than 11 point; figures and references cited, if included, must fit within the five-page limit)
- Contact information (name, affiliation, and email address) of at least three individuals who will be able to provide letters of reference
Application Deadline
October 30, 2026
Recruitment Process Timeline
- Application deadline: October 30, 2026
- Review and Selection: October 2026 – January 2027
- Decisions made: January/February 2027
- Target start date: October 1, 2027 (actual date can be negotiated a few months earlier or later, depending on the successful candidate's availability)
Pay
This position is expected to pay between $146,318 to $150,718 annually. Actual salary will depend on the candidate's overall experience and expertise, including prior experience in Postdoc roles.
Schedule & Location
Work may be performed on-site, or hybrid. The primary location is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.