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About the DOE CSGF

The Department of Energy Computational Science Graduate Fellowship (DOE CSGF), provides outstanding opportunities to students pursuing doctoral degrees in fields that use high-performance computing to solve complex science and engineering problems. The program fosters a community of energetic and committed Ph.D. students, alumni, DOE laboratory staff and scientists who want to have an impact on the nation while advancing their research.

Established in 1991, the program is funded by the U.S. Department of Energy's Office of Science and National Nuclear Security Administration.

Members of the 2024-2025 fellowship cohort posed for an outdoor portrait.

Our Community

  • More than 675 fellowships awarded

  • 85 Ph.D.-granting U.S. universities engaged

  • Alumni working in industry, academia and national laboratories

Eligibility

  • Open to U.S. citizens and lawful permanent residents

  • Seeks senior undergrads and first-year graduate students 

  • Recipients must be full-time doctoral students

Financial Benefits

  • $45,000 annual stipend; payment of full tuition and fees

  • Yearly professional development allowance

  • Renewable up to four years

Program Opportunities

  • 12-week, on-site DOE laboratory research experience

  • Collaborations with fellows, lab staff and beyond

  • Annual meeting to share research and strengthen connections

Continental United States map with DOE CSGF practicum locations marked.

DOE Laboratory Practicum Experience

The practicum is a unique opportunity for DOE CSGF fellows to work in a DOE laboratory with some of the most respected scientists in the world. This experience offers the fellows insight into how their scientific interests can translate to research areas important to the nation. Working outside of their thesis studies, the fellows use the practicum as a time to learn new skills and expand their research capabilities. The practicum takes place over a 12-week-minimum period, typically in the summer months, where fellows relocate to the facility and contribute to the work of the laboratory's multidisciplinary teams – most often with ties to high-performance computing resources.

“During my practicums I had the valuable opportunity as an applied mathematician to work directly with experimentalists. The insights I have gained from collaborating with my experimental colleagues have strengthened the impact of my computational work by enhancing my ability to integrate experimental constraints into my models.”

Fellow

Meet the Fellows

  • Juan Gomez
    Harvard University
    Information Theory/Machine Learning
  • Bryn Barker
    University of North Carolina at Chapel Hill
    Applied Mathematics
  • Caleb Ju
    Georgia Institute of Technology
    Operations Research
  • David Abadie
    University of Central Florida
    Computational Material Discovery/Quantum ML
  • Jackson Burns
    Massachusetts Institute of Technology
    Chemical Engineering and Computation
  • Olivia Asher
    University of Georgia
    Bioinformatics
  • Julia Wei
    Harvard University
    Condensed Matter Physics, Quantum Information
  • Gabrielle Jones
    University of Michigan
    Chemical Engineering

News and Events

  • Washingtonian Magazine: The D.C. Wharf at night.

    The DOE CSGF's annual meeting will return to the heart of our nation's capital this summer. Fellows, alumni, faculty, DOE laboratory staff and friends of the program will gather at the Hilton Washington DC National Mall The Wharf, July 13-17.

  • In this inverse problem, researchers use data about a chemical contaminant’s spread through a city (purple area) with buildings (white rectangles) and use that information to model the source (yellow). (Image: Sonia Reilly.)

    Sonia Reilly, a New York University DOE CSGF recipient, accelerates algorithms that run vital processes backward. She starts with the answer and then estimates the values of the parameters.

Outreach