Berkeley Lab is now accepting applications for the 2024 Luis W. Alvarez Postdoctoral Fellowship and the 2024 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area.
Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2021 and no later than September 30, 2024) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015.
Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/.
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 computer science, mathematics, data science, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. 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; and managing scientific data and workflows in distributed environments
Application Process: For consideration applications are due October 2, 2023. Details of the application process can be found by search for job 99672 at https://jobs.lbl.gov/.