ACM SIGHPC Computational & Data Science Fellowships
The ACM SIGHPC Computational & Data Science Fellowships support diverse graduate students worldwide conducting interdisciplinary research in computational and data science, funded by the Association for Computer Machinery.
Funder: Association for Computer Machinery
Due Dates: April 30, 2027 (Nominations close)
Funding Amounts: US$20,000 annual stipend (adjusted by country); up to 2 years for MS, 4 years for PhD
Summary: Fellowship supporting diverse graduate students globally in computational or data science fields beyond traditional computer science.
Key Information: Open to women and underrepresented groups in computing; advisor nomination required; only one nominee per department.
Description
The ACM SIGHPC Computational & Data Science Fellowships are designed to increase diversity among graduate students pursuing degrees in computational and data science. The program specifically encourages nominations of women and students from racial or ethnic backgrounds underrepresented in computing, and is open to candidates worldwide. Research areas include computational modeling, simulation, or large-scale data analysis in disciplines outside traditional computer science (e.g., computational chemistry, ecological informatics). Recipients are selected based on their academic potential, likelihood of completing a graduate degree, and anticipated impact on workplace diversity.
