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    CyberAICorps Scholarship for Service

    Limited submission

    The CyberAICorps Scholarship for Service funds programs to train U.S. students in AI and cybersecurity, requiring graduates to work in government roles, and supports innovative education and workforce development projects.

    Funder: U.S. National Science Foundation

    Due Dates: April 3, 2026 (Full proposal target date, Scholarship & Innovation Tracks) | July 21, 2026 (Full proposal deadline, Scholarship Track) | April 3, 2027 (Annual full proposal target date, both tracks) | April 5, 2027 (Current closing date, Innovation Track) | July 20, 2027 (Annual full proposal deadline, Scholarship Track)

    Funding Amounts: Up to $2,500,000 per award (Scholarship Track, max 3 years); up to $500,000 per award (Innovation Track, max 3 years); total program funding estimated at $2,500,000 annually; 25 awards expected.

    Summary: Supports institutional projects to advance education, workforce development, and scholarship-for-service in artificial intelligence (AI) and cybersecurity, including scholarships with post-graduation government service requirements.

    Key Information: Distinct Scholarship and Innovation Tracks; strict eligibility for institutions and PIs; recurring annual deadlines.


    Description

    This program addresses the urgent national need for a skilled workforce at the intersection of artificial intelligence (AI) and cybersecurity. It funds two distinct tracks:

    • Scholarship Track: Provides institutional funding to establish or continue scholarship-for-service programs that integrate AI and cybersecurity education. Student recipients must be U.S. citizens or lawful permanent residents and commit to post-graduation service in a government AI or cybersecurity role for at least as long as their scholarship support.
    • Innovation Track: Supports projects that enhance the preparation of AI and/or cybersecurity professionals, such as developing new curricula, educational pathways, methods, or partnerships.

    The program aims to increase the number and quality of AI and cybersecurity experts, improve educational outcomes, and foster innovative instructional approaches.


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