National Society for Black Engineers
2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships
National Society for Black Engineers, San Francisco, California, United States, 94199
Overview
The 2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships in Computing Sciences are offered by the Computing Sciences Area at Lawrence Berkeley National Laboratory. Two distinguished postdoctoral fellowships are available: Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship. One application is submitted and will be considered for both fellowships. Fellowships
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. and have completed no more than three years of postdoctoral work are encouraged to apply. The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of 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. About Computing Sciences at Berkeley Lab
Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to advance research in applied mathematics, computer science, data science, and computational science, and harness large-scale computing and networking facilities. Research areas include but are not limited to: developing scientific applications for extreme-scale computing; mathematical modeling; algorithm design; architectural research for science; extreme-scale data management, analysis, and visualization; machine learning, AI, and data science for science; quantum computing and networking; evaluating HPC systems; next-generation networks; and managing scientific data and workflows in distributed environments. Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve 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 Process
1. 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 (5) pages when printed on letter-size paper with 1-inch margins and font size not smaller than 11 point; figures and references must fit within the five-page limit) 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 24, 2025. Note: It is highly advisable that you have all the required materials ready before submitting. Your application will not be considered complete if any information is missing. Timeline and Notes
Application deadline: October 24, 2025 Review and Selection: October 2025 - January 2026 Decisions made: January/February 2026 Notes
The selected candidates will be offered either the Luis W. Alvarez Postdoctoral Fellowship or the Admiral Grace M. Hopper Postdoctoral Fellowship based on their research focus. Salary range: $137,916 to $142,053 annually. Actual salary depends on overall experience and prior postdoc experience. This position is represented by a union for collective bargaining purposes. May be subject to a background check. Conviction history will be evaluated for relevance to responsibilities. By applying, candidacy may be considered for other relevant positions within Computing Sciences. You may apply to other openings matching your interests. Work may be on-site or hybrid. Work must be performed within the United States. Starting May 7, a REAL ID or other acceptable ID is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov How To Apply Apply directly online and follow the on-line instructions to complete the application process. Equal Employment Opportunity Employer:
Berkeley Lab is an Equal Opportunity Employer. We welcome applications from all who could contribute to the Lab's mission without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Misconduct Disclosure Requirement: finalists will be required to disclose any misconduct decisions within the last seven years.
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The 2026 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships in Computing Sciences are offered by the Computing Sciences Area at Lawrence Berkeley National Laboratory. Two distinguished postdoctoral fellowships are available: Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship. One application is submitted and will be considered for both fellowships. Fellowships
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. and have completed no more than three years of postdoctoral work are encouraged to apply. The successful candidates will participate in research activities in computer science, mathematics, data science, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of 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. About Computing Sciences at Berkeley Lab
Berkeley Lab's Computing Sciences Area researches, develops, and deploys new tools and technologies to advance research in applied mathematics, computer science, data science, and computational science, and harness large-scale computing and networking facilities. Research areas include but are not limited to: developing scientific applications for extreme-scale computing; mathematical modeling; algorithm design; architectural research for science; extreme-scale data management, analysis, and visualization; machine learning, AI, and data science for science; quantum computing and networking; evaluating HPC systems; next-generation networks; and managing scientific data and workflows in distributed environments. Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve 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 Process
1. 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 (5) pages when printed on letter-size paper with 1-inch margins and font size not smaller than 11 point; figures and references must fit within the five-page limit) 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 24, 2025. Note: It is highly advisable that you have all the required materials ready before submitting. Your application will not be considered complete if any information is missing. Timeline and Notes
Application deadline: October 24, 2025 Review and Selection: October 2025 - January 2026 Decisions made: January/February 2026 Notes
The selected candidates will be offered either the Luis W. Alvarez Postdoctoral Fellowship or the Admiral Grace M. Hopper Postdoctoral Fellowship based on their research focus. Salary range: $137,916 to $142,053 annually. Actual salary depends on overall experience and prior postdoc experience. This position is represented by a union for collective bargaining purposes. May be subject to a background check. Conviction history will be evaluated for relevance to responsibilities. By applying, candidacy may be considered for other relevant positions within Computing Sciences. You may apply to other openings matching your interests. Work may be on-site or hybrid. Work must be performed within the United States. Starting May 7, a REAL ID or other acceptable ID is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov How To Apply Apply directly online and follow the on-line instructions to complete the application process. Equal Employment Opportunity Employer:
Berkeley Lab is an Equal Opportunity Employer. We welcome applications from all who could contribute to the Lab's mission without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Misconduct Disclosure Requirement: finalists will be required to disclose any misconduct decisions within the last seven years.
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