Opportunity

Simpler Grants.gov #361249

NSF Postdoctoral Research Fellowships in Biology for AI and Biotechnology Innovation

Buyer

National Science Foundation

Posted

February 05, 2026

Respond By

September 29, 2026

Identifier

361249

NAICS

541715, 541714

The U.S. National Science Foundation (NSF), through its Directorate for Biological Sciences (BIO), is soliciting proposals for Postdoctoral Research Fellowships in Biology (PRFB) focused on AI and biotechnology innovation. - Government Buyer: - U.S. National Science Foundation (NSF), Directorate for Biological Sciences (BIO) - Purpose and Scope: - Supports postdoctoral research and training at the intersection of Artificial Intelligence (AI) and Biological Sciences - Aims to strengthen and safeguard biotechnology innovations - Eligibility and Application: - Open to recent doctoral degree recipients who are U.S. citizens, nationals, or permanent residents - Proposals must be submitted individually, with affiliation to a suitable U.S. or international host institution - Program Features: - Encourages leveraging existing biological data and infrastructure (e.g., Biofoundries, Programmable Cloud Labs, Manufacturing USA Institutes, NEON) - Focus on cross-disciplinary expertise in AI and biology - Funding Details: - Estimated total funding: $16,500,000 - Individual awards expected to be $220,000 - Unique Requirements: - Direct awards to fellows (not institutions) - No specific OEMs, vendors, or product procurement involved; this is a research fellowship opportunity

Description

The U.S. National Science Foundation is offering Postdoctoral Research Fellowships in Biology focused on the integration of Artificial Intelligence and Biological Sciences to advance biotechnology innovations. The fellowship supports recent doctoral degree recipients proposing research and training at the intersection of AI and biology. Fellows will develop expertise in both fields and are expected to become leaders who use AI to drive technological advances from biological data. Proposals should consider leveraging existing biological data and infrastructure to accelerate discovery and innovation.

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