[Job-offers-cs] 2024 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab

[Pekka Orponen]

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 
cs.lbl.gov/careers/computing-fellowships/. 
<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 jobs.lbl.gov/. <https://jobs.lbl.gov/>



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Stefan Wild
Berkeley Lab
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