DOE Computational Science Graduate Fellowship (CSGF)

DOE Computational Science Graduate Fellowship (CSGF) is sponsored by U.S. Department of Energy (DOE). Provides support for students pursuing doctoral degrees in computational science, including AI and machine learning.

Building Community Since 1991 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. More than 700 fellowships awarded Over 85 Ph. D.

-granting U.S. universities engaged Alumni working in industry, academia and national laboratories Open to U.S. citizens and lawful permanent residents Seeks senior undergrads and first-year graduate students Recipients must be full-time doctoral students $45,000 annual stipend; payment of full tuition and fees Yearly professional development allowance Renewable up to four years 12-week, on-site DOE laboratory research experience Collaborations with fellows, lab staff and beyond Annual meeting to share research and strengthen connections 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. “The challenges I faced – both in analysis and methodology – helped me grow as an independent researcher and collaborator.

I also found that I thrive in [the lab's] collaborative and supportive scientific environment. More than anything, this experience reinforced my confidence to tackle complex research problems while strengthening my scientific intuition so that I can trust myself as a researcher.

” Massachusetts Institute of Technology University of Central Florida Computational Material Discovery Computational Chemistry/Catalysis Massachusetts Institute of Technology Chemical Engineering and Computation DEIXIS Online: Variable Pursuits Ashlynn Crisp, a Portland State University DOE CSGF recipient, builds statistical tools that can sift useful signals.

DEIXIS Online: Keeping AI Honest Katherine (Katie) Keegan, an Emory University DOE CSGF recipient, ratchets up mathematical rigor to boost confidence in scientific generative AI. The DOE CSGF's annual publication highlights fellows' research, alumni career paths and accomplishments, and current topics in computational science. Browse digital issues or request the latest edition in print.

DEIXIS: Profiles in Computational Science is the online companion to the annual print publication. Many stories explore the roles fellows play in scientific discovery across the DOE laboratory system.