1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
CyberAICorps Scholarship for Service (CyberAI SFS) program - Innovation Track is sponsored by National Science Foundation (NSF). The Innovation Track of the CyberAI SFS program seeks transformative education proposals in AI, cybersecurity, or their integration.
Proposed projects should have the potential for wide adoption and help the U.S. educational system train more AI and cybersecurity experts, including basic research in areas such as adversarial machine learning and trustworthy AI.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
CyberAICorps Scholarship for Service (CyberAI SFS) | NSF - U.S. National Science Foundation CyberAICorps Scholarship for Service (CyberAI SFS) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports scholarships and educational innovations that integrate AI and cybersecurity training to prepare a skilled U.S. workforce for the AI and cybersecurity mission of government organizations.
Supports scholarships and educational innovations that integrate AI and cybersecurity training to prepare a skilled U.S. workforce for the AI and cybersecurity mission of government organizations. Government and the nation face a talent shortfall in artificial intelligence (AI) and cybersecurity.
The CyberAICorps Scholarship for Service ( CyberAI SFS ) program welcomes proposals that address AI and cybersecurity education and workforce development. CyberAI refers to using AI in cybersecurity as well as providing security and resilience for AI systems. The Scholarship Track provides funding to establish, or to continue, scholarship for service programs with integrated AI and cybersecurity components (CyberAI).
Scholarship recipients must be U.S. citizens or lawful permanent residents and work after graduation in the AI or cybersecurity mission of a government organization for a period of at least the length of the scholarship. The Innovation Track supports projects that enhance preparation of AI and/or cybersecurity professionals.
Projects may expand existing educational opportunities, curricula, degree programs, educational pathways, methods and interventions, and partnerships among institutions of higher education, government, and employers. Two statutes authorize this program: 15 USC §7442 (cybersecurity) and 42 USC §18993 (AI). CyberAI SFS aligns with the Executive Order 14277 to prioritize AI within scholarship for service programs.
CyberAI is managed by NSF’s Directorate for STEM Education in collaboration with the U.S. Office of Personnel Management (OPM) and U.S. Department of Homeland Security (DHS).
Updates and announcements NSF launches AI and cybersecurity education solicitation, enhancing longstanding Scholarship for Service program March 18, 2026 - Office Hour about NSF 26-503 CyberAI Solicitation Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for STEM Education (EDU)
Key questions and narrative sections extracted from the solicitation.
Project title starting with 'CyberAI SFS:' (Scholarship) or 'CyberAI Innovation:' (Innovation)
Evaluation plan with metrics and timeline
Results from prior NSF support
Graduate student mentoring plan
Scholarship Track: recruitment plan, mentoring strategy, institutional responsibility plan, evidence of strong AI/cybersecurity program
Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Academic institutions. Scholarship recipients must be U.S. citizens or lawful permanent residents. Confirm the full requirements in the official notice before applying.
The current listing shows varies (e.g., CORE and Transition to Practice proposals can request up to $1.2 million, Seedling awards max out at $300,000). Verify award ceilings, matching requirements, and allowable costs in the official notice.
CyberAICorps Scholarship for Service (CyberAI SFS) program - Innovation Track is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The solicitation lists 8 required documents: Project title with required prefix, Evaluation plan with metrics and timeline, Results from prior NSF support, Graduate student mentoring plan (if applicable), Recruitment plan (Scholarship Track), and Mentoring strategy (Scholarship Track), among others (the full list is in the Required Documents section on this page). Check the official notice for formatting and page-limit rules.
Past winners and funding trends for this program
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.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
Read article