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The Simons Foundation's Mathematics and Physical Sciences (MPS) division invites letters of intent for its Targeted Grants program, which supports high-risk theoretical mathematics, physics, and computer science research of exceptional promise. Current priority areas include the mathematics of deep learning, generative AI theory, diffusion models, machine learning for protein engineering, and foundational machine learning research.
Typical grants provide $100,000 to $500,000 per year for multi-year programs (up to five years), with total awards commonly reaching $1,000,000 to $2,500,000. Letters of intent are accepted on a rolling, case-by-case basis.
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Or search similar grants →According to the current listing, eligibility includes: Faculty and researchers at universities and research institutions pursuing high-risk, high-importance theoretical research in the mathematics and foundations of AI and machine learning. Proposals begin with a letter of intent. Confirm the full requirements in the official notice before applying.
The current listing shows typical grants provide $100,000 to $500,000 per year for up to five years, with total awards commonly reaching $1,000,000 to $2,500,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Simons Foundation Targeted Grants in Mathematics and Physical Sciences for AI, Deep Learning, and Machine Learning Theory is funded by Simons Foundation (Mathematics and Physical Sciences division). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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