The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) – a program that has supported the graduate studies of nearly 600 awardees since 1991 – is currently accepting applications through January 18, 2023.
As you read, kindly forward this message to anyone you feel would be a good fit for the program. We look forward to welcoming another multidisciplinary class of fellows in the fall of 2023. Your encouragement could make all the difference in someone choosing to pursue this life-changing opportunity.
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 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 available to U.S. citizens or lawful permanent residents who plan full-time, uninterrupted study toward a Ph.D. at an accredited U.S. university; senior undergraduates and first-year graduate students are eligible to apply.
- 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
Please consider joining fellowship staff as we host an informational webinar at 1:30 p.m. CT on Thursday, December 8. This Zoom session (register here) will provide an overview of the DOE CSGF 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.
As always, we thank you for your support of the DOE CSGF, and we welcome the opportunity to answer questions ahead of the January 18 application deadline.
Best regards,email@example.comLindsey Eilts DOE CSGF Program Coordinator Krell Institute