Unlock PhD Funding: Join Our 12/10 DOE CSGF Webinar

Please join Department of Energy Computational Science Graduate Fellowship (DOE CSGF) staff as we host an informational application webinar at 1:30 p.m. CT on Tuesday, December 10. This one-hour-max Zoom session (register here) will provide an overview of the program and guidance for applying, and it will serve as a forum to ask related questions in a live Q&A format. A recording will also be made available via the fellowship website.

The DOE CSGF provides outstanding benefits and opportunities for doctoral students in various fields that use high-performance computing to solve complex problems in science and engineering. Renewable up to four years, the fellowship also seeks candidates researching applied mathematics, statistics, computer science, computer engineering or computational science advances that contribute to more effective use of emerging high-performance systems. Learn more about the program’s two tracks here.

The DOE CSGF is open to U.S. citizens or lawful permanent residents who plan full-time, uninterrupted study toward a Ph.D. at an accredited U.S. university in or by fall 2025.

Academic Eligibility:

  • Senior undergraduates
  • First-year graduate students
  • Those matriculating into graduate school

Benefits:

  • A $45,000 yearly stipend
  • Payment of full tuition and required fees
  • Yearly program review participation
  • An annual professional development allowance
  • A 12-week DOE laboratory research practicum experience

Additional Resources:

Program History & Community: The DOE CSGF has funded the doctoral studies of more than 675 awardees since 1991. Current fellows represent 45 institutions across the country, and program alumni work in industry, academia, non-profit organizations, DOE laboratories and other government institutions (both in the U.S. and abroad). Together they make up a connected and collaborative community invested in supporting one another and advancing scientific discovery via the use of high-performance computing.

Questions? Attend the December 10 webinar and/or contact us via csgf@krellinst.org.