DOE CSGF

DOE CSGF

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A community of the nation's top computational and computer scientists, engineers, and mathematicians; established in 1991. Banner image: https://bit.ly/3NiJYzt

Fellows in the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program are using high-performance computing to better understand fundamental properties of the world and universe around us and to solve complex problems in areas of national importance, such as climate change and sustainable energy sources. The tremendous benefits and opportunities these students receive have a lasting impact on their lives. Banner image: http://bit.ly/3GPZRrt

03/07/2025

There is still time to apply for the Laboratory Residency Graduate Fellowship's 2025 incoming class. First-year (or later) PhD students are eligible and must act by Wednesday, March 12. More here: https://krellinst.org/lrgf/how-apply

01/16/2025

TODAY is the day! applications must be submitted via the online system by 5 p.m. CT. Direct questions to csgf[at]krellinst[dot]org. Reference letters are due 1/23 and transcripts by 1/31. Thank you for your interest and best of luck to all candidates. U.S. Department of Energy (Office of Science) National Nuclear Security Administration

12/26/2024

Key dates to note as the 2025-26 application period winds down:
- 1/14/2025: final submissions due
- 1/23/2025: reference letters due
- 1/31/2025: official transcripts due
Review our webinar recording for additional insight: https://bit.ly/41iri91
U.S. Department of Energy Office of Science National Nuclear Security Administration

Now seeking applicants for our 35th fellowship class! Full tuition and fees, $45K annual stipend, DOE laboratory research collaborations, a supportive community and more. Act by 1/16/2025: https://www.krellinst.org/csgf/about-doe-csgf/news-events/apply-now. U.S. Department of Energy National Nuclear Security Administration

Photos from Brown University Data Science Institute's post 12/16/2024

Congratulations to alumna Brenda Rubenstein (2018-2012; Columbia University ) who was just named director of (the) Brown University Data Science Institute for a three-year term beginning 7/1/2025.

12/11/2024

Attention potential applicants: Yesterday's webinar recording is now available at https://bit.ly/41iri91. Topics include program benefits, applicant eligibility, and Science/Engineering vs. Math/Computer Science Track options; plus insight into application components. U.S. Department of Energy National Nuclear Security Administration

12/09/2024

Our application webinar is TOMORROW, 12/10 at 1:30 p.m. CT. Join us on Zoom to learn about this four-year PhD fellowship's generous financial benefits, outstanding training and U.S. Department of Energy laboratory experience, and supportive community of fellows/alumni. We will welcome our 35th cohort this fall! https://krellinst-org.zoom.us/webinar/register/6117337621980/WN_OBZqQXkuTWiI0LHk0IOyRg

cc: National Nuclear Security Administration

12/06/2024

Congrats to the DOE CSGFers whose projects were allocated a combined 7.125M node-hours via the DOE Office of Science's INCITE program: Matthew Norman, Sanjeeb Bose, Amanda Randles, Kiran Eiden, Brenda Rubenstein, Noah Mandell, John Evans and Nicholas Frontiere. https://bit.ly/incite25

Oak Ridge National Laboratory Cadence Duke University Stony Brook University Brown University Type One Energy University of Colorado Boulder Argonne National Laboratory Argonne Leadership Computing Facility Oak Ridge Leadership Computing Facility

Gordon Bell Prize for Climate Modelling Goes to Team for Exascale Emulator Breakthrough 12/02/2024

Congrats to Allison Baker, alumna (1999-03) & NSF NCAR & UCAR computational scientist, who is part of the team awarded the 2024 Gordon Bell Prize for Climate Modelling. A University of Colorado Boulder PhD, Allison works with the Community Earth System Model (CESM).

Gordon Bell Prize for Climate Modelling Goes to Team for Exascale Emulator Breakthrough ATLANTA, Nov. 22, 2024 – ACM, the Association for Computing Machinery , has presented a 12-member team with the ACM Gordon Bell Prize for Climate Modelling for their project “Boosting Earth […]

Predicting chaos - Deixis Online 11/26/2024

Check out this Deixis Online piece featuring fourth-year fellow, Victor Zendejas Lopez, whose Caltech PhD research focuses on . Victor is planning for a third Lawrence Livermore National Laboratory practicum and aims for a national laboratory career.

Predicting chaos - Deixis Online A Caltech fellowship recipient works on the physics underlying turbulence, or the chaotic gain of energy when fluids move in unpredictable ways.

11/22/2024

Reminder: Corones Award nominations are due December 1. Submissions should speak to the impact the nominee has had in all three areas: leadership, community building and communication. Recognize someone in your circle this season of thanksgiving.

Act by December 1 to nominate a colleague, advisor or mentor for the seventh-annual James Corones Award in Leadership, Community Building and Communication. Recognize a mid-career scientist or engineer for their impact in all three areas. See https://www.krellinst.org/about-krell/corones-award for details.

Photos from DOE CSGF's post 11/22/2024

recap: In addition to serving as an training ground for current fellows, the SC Conference gives us the opportunity to interact with recipients in a number of contexts. Here are some highlights -- the first from our Sunday meet up. (See image captions for detail.) U.S. Department of Energy U.S. DOE Office of Science National Nuclear Security Administration

Photos from DOE CSGF's post 11/21/2024

Alumna Judy Hill (1999-03) took the stage yesterday to highlight early successes of the newly minted world's fastest , Lawrence Livermore National Laboratory's . Kudos to the teams behind this powerhouse machine and the scientific discovery it enables. SC Conference

We also spotted names of other alumni on Judy's acknowledgements slide, Teresa Bailey (2002-06) and Britton Olson (2008-12).

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Fellows in the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program are using high performance computing to better understand fundamental properties of the world and universe around us, and to solve complex problems in areas of national importance, such as climate change and sustainable energy sources.

The tremendous benefits and opportunities these students receive have a lasting impact on their lives.

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