October 30, 2025
See: https://www.krellinst.org/csgf/about-doe-csgf/news/app-webinar-dec25
DOE CSGF program manager Lindsey Eilts will begin the session with an overview of the fellowship’s benefits, eligibility requirements and two tracks. From there, she will also address application components to include academic history, transcripts, the program of study, research statements, and letters of reference. Attendees are encouraged to use Zoom’s Q&A function to submit and up-vote questions, which will be fielded live.
Reminder: The 2026-27 DOE CSGF application opened in mid-October and will close January 15, 2026.
Webinar registration was enabled for the express purpose of event-specific communication and attendee calendar integration. Access is limited to 500 participants, and a recording will be made available via the DOE CSGF website.
What: DOE CSGF Application Q&A
When: Dec 3, 2025, 01:30 PM Central Time (US and Canada)
Duration: 60 to 90 minutes
Register and add this event and connection details to your calendar:
https://krellinst-org.zoom.us/webinar/register/3917610734842/WN_6byu7J-iStKdwX-xrNDHSQ
Zoom will send an automated reminder one day and one hour before the session.
Additional info: https://www.krellinst.org/csgf/about-doe-csgf/fields-study
Fields of Study
DOE CSGF Science & Engineering Track fellows use math and computers to conduct doctoral research in many fields, including:
- Aeronautics
- Astrophysics
- Biological Sciences
- Chemical Engineering
- Chemistry
- Electrical Engineering*
- Environmental Science
- Materials Sciences
- Mechanical Engineering
- Physics
* Students performing research in computer science, computer engineering or electrical engineering — including development of novel hardware technology, machine learning or enabling software — without a specific science or engineering focus should apply to the Math/CS Track as these topics are considered broadly applicable research areas for the purposes of the DOE CSGF.
DOE CSGF Mathematics & Computer Science Track recipients pursue doctoral degrees in applied mathematics, statistics, computer science, computer engineering or computational science — or their academic equivalent — with research interests that help use emerging high-performance systems more effectively. A departmental exception is made for students whose research is focused on algorithms or software for quantum information systems and who are enrolled in a science or engineering field. In all cases, research must contribute to more effective use of emerging high-performance computer systems. This track allows students to focus on issues in high-performance computing as a broadly applicable technology and not on a particular science or engineering application.
For a more comprehensive look at the fields of study the DOE CSGF supports, check the work of current fellows and program alumni.