NSF 26-503: CyberAICorps Scholarship for Service (CyberAI SFS)
Sponsor: NSFInternal Deadline: 03/01/2027Institutional Submission Limit: 1Sponsor Deadline: 07/20/2027Program Website
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.
April 5 2027 - Target date
Innovation Track
July 20 2027 - Deadline date
Scholarship Track
Limit on number of proposals per organization
There is no restriction for the Innovation Track.
For the Scholarship Track, each performing organization is limited to one (1) proposal submitted for the same competition date.
Submission Process
Limited submissions MUST be coordinated with the Office of the Vice President for Research.
If interested in applying for this opportunity, please combine the following items into a single PDF and email to resdev@mailbox.sc.edu by 5pm on the INTERNAL DEADLINE above:
- Cover page with grant program name & number (if applicable) to which you are applying, your project title, PI (name, department/unit, & email), and list of co-PIs/key collaborators (name & department/unit)
- a two-page project abstract addressing key components/criteria for this specific grant program
- a 2-3 page CV/biosketch for the PI (SCiENcv preferred)