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FY2026 closed Sep 5, 2025. Annual program — next cycle FY2027 expected late 2025/early 2026.
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).
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S. institutions of higher education only. Optional white papers due May 2, 2025. Full proposals due September 5, 2025. Teams must demonstrate multidisciplinary research capability spanning multiple traditional disciplines. Confirm the full requirements in the official notice before applying.
The most recent published deadline was September 5, 2025, which has passed. This is an annual program, so a new cycle should follow. Check the funder's website for the next application window.
DoD MURI FY2026 Multidisciplinary University Research Initiative for AI and Autonomy is funded by Department of Defense. 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 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 Department of Energy's Office of Technology Commercialization has opened the FY26 Genesis Mission SBIR/STTR Phase I opportunity, funding small business research across four AI-for-science topic areas tied to DOE's Genesis Mission. Scaling the Biotechnology Revolution seeks advanced AI applications for biochemicals and bioproducts, including AI tools to support biomolecular design and to accelerate bioreactor design and biomanufacturing. Realizing Quantum Systems for Discovery covers AI for quantum computing and networking, specifically qubit decoherence mitigation, quantum error correction, and automating and optimising quantum resource estimation tools. Designing Materials with Predictable Functionality seeks AI frameworks enabling inverse design, where materials are engineered backwards from specific required properties, for energy and manufacturing applications. Achieving AI-Driven Autonomous Laboratories covers integration of AI into experimental workflows using advanced robotics, AI for network operations, diagnostics and remote handling. Phase I awards are up to 250,000 dollars over six to 12 months, with approximately 40 awards totalling 10 million dollars and lifecycle funding up to 44 million dollars. The defining feature of this cycle is a mandatory pitch-first process: companies submit a 700-word pitch answering four equally weighted questions covering summary, technical promise, commercialisation potential and team qualifications, and only accepted pitches are invited to submit a full application. Pitches were due 10 September 2026 at 2:00pm ET. A company may submit a maximum of three pitches.
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.
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