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CyberAICorps Scholarship for Service, solicitation NSF 26-503, is the artificial intelligence era successor to NSF's 25-year-old CyberCorps Scholarship for Service programme.
The rename is substantive rather than cosmetic: CyberAI is defined as both using AI in cybersecurity and providing security and resilience for AI systems, and the solicitation supports scholarships and educational innovations that integrate AI and cybersecurity training to prepare a skilled US workforce for the AI and cybersecurity mission of government organisations. Two tracks are available. The Scholarship Track, capped at 2.
5 million dollars over a mandatory three-year budget duration, funds student stipends, tuition and professional allowances for CyberAI students who commit to federal, state, local or tribal government service after graduation. The Innovation Track, capped at 500,000 dollars, funds curriculum and capacity-building work without the scholarship pipeline commitment.
Two Scholarship Track competitions ran under this solicitation in 2026: a fiscal year 2026 competition with a target date of 3 April 2026 and a fiscal year 2027 competition with a hard deadline of 21 July 2026, after which proposals are not accepted. Community colleges are eligible as subawardees under the Scholarship Track, which makes this one of the few large federal AI workforce instruments with a real two-year college on-ramp.
Institutions considering this programme should recognise that it is a placement programme first: award performance is judged partly on whether graduates actually enter government service, and proposals without a credible agency placement strategy are weak regardless of curriculum quality.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are US institutions of higher education that can deliver an integrated AI and cybersecurity curriculum and place graduates into government service. The Scholarship Track requires a three-year budget duration and funds student stipends, tuition and professional allowances; scholarship recipients must be US citizens or lawful permanent residents and must commit to a post-graduation service obligation in federal, state, local or tribal government proportional to the scholarship support received. Community colleges are eligible as subawardees under the Scholarship Track, giving two-year institutions a route into the programme through partnership with a four-year lead. The Innovation Track, capped at 500,000 dollars, is open to institutions pursuing educational innovation in CyberAI without the scholarship commitment and has a lower administrative burden. Many universities treat the Scholarship Track as a limited submission with only one proposal permitted per institution, so applicants must check with their research office and clear an internal competition well before the NSF date. Under NSF 26-503 the fiscal year 2026 Scholarship Track competition had a target date of 3 April 2026 and the fiscal year 2027 competition a firm deadline of 21 July 2026, with proposals submitted after that date not accepted. Institutions should confirm current deadlines and track ceilings in the live solicitation at nsf.gov, since NSF adjusts competition dates between fiscal years. Confirm the full requirements in the official notice before applying.
The current listing shows the programme runs two tracks with different ceilings: the Innovation Track is capped at 500,000 US dollars and the Scholarship Track at 2,500,000 dollars, so amount_min is 500,000 and amount_max is 2,500,000. Scholarship Track budgets must run exactly three years and cover student stipends, tuition and professional allowances, with published stipend levels in the range of roughly 27,000 dollars for undergraduates and 37,000 dollars for graduate students. That structure means the Scholarship Track ceiling is largely determined arithmetically by cohort size rather than being a negotiable research budget, and institutions should size the request by working backward from the number of students they can realistically recruit, place and graduate into federal service. The Innovation Track at 500,000 dollars is the right instrument for institutions building CyberAI curriculum or capacity without committing to a scholarship pipeline. Note that the Scholarship Track is a limited submission at many universities, meaning an internal campus competition precedes the NSF deadline. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 21, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NSF CyberAICorps Scholarship for Service (CyberAI SFS, NSF 26-503) for AI and Cybersecurity Workforce Development is funded by U.S. National Science Foundation (NSF). 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.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
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