ACM SIGHPC Computational & Data Science Fellowships
The ACM SIGHPC Computational & Data Science Fellowships support diverse graduate students advancing research in computational modeling, simulation, and data analysis, funded by the Association for Computer Machinery.
Funder: Association for Computer Machinery
Due Dates (Anticipated): May 2027 (nominations close)
Funding Amounts: US$20,000/year (adjusted by country); up to 2 years (MS) or 4 years (PhD)
Summary: Supports diverse graduate students in computational and data science globally, with emphasis on women and underrepresented groups.
Key Information: Only one nomination per department per cycle; advisor must initiate nomination.
Description
The ACM SIGHPC Computational & Data Science Fellowships are designed to broaden the diversity of students pursuing graduate degrees in computational and data science worldwide. The program specifically supports women and students from racial or ethnic backgrounds historically underrepresented in computing. It welcomes applicants from disciplines outside traditional computer science, especially those whose research relies on computational modeling, simulation, or large-scale data analysis. Recipients are recognized for their potential to excel in their fields and contribute to a more diverse workforce in computational and data sciences.
