[Job-offers-cs] 2025 Luis W. Alvarez and Admiral Grace Hopper Postdoc Fellowships at Berkeley Lab

[Pekka Orponen]

Lawrence Berkeley National Laboratory Lab is now accepting applications 
for the 2025 Luis W. Alvarez Postdoctoral Fellowship and the 2025 
Admiral Grace Hopper Postdoctoral Fellowship.


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 past three years 
(i.e., no earlier than January 1, 2022 and no later than September 30, 
2025) 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, Berkeley Lab's Luis W. Alvarez Postdoctoral 
Fellowship (go.lbl.gov/alvarez <http://go.lbl.gov/alvarez>) has 
cultivated exceptional early career scientists who have gone on to make 
outstanding contributions to computer science, mathematics, data 
science, and computational sciences. The Admiral Grace Hopper 
Postdoctoral Fellowship (go.lbl.gov/hopper <http://go.lbl.gov/hopper>) 
was first awarded in 2015 with the goal of enabling early career 
scientists to make outstanding contributions in computer science and 
high performance computing (HPC) research.


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.


Applications are due October 31, 2024. Details of the application 
process can be found at go.lbl.gov/2025 <http://go.lbl.gov/2025>.
Stefan Wild, Applied Math & Computational Research Div 
<https://crd.lbl.gov/divisions/amcr>, Berkeley Lab <https://lbl.gov/>
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