| Description: |
The goals of the CyberAI SFS Program are to: (1) increase the number of CyberAI experts and support their placement and retention in the mission of government organizations; and (2) enhance the national capacity for the education and training of AI and cybersecurity professionals, educators, and researchers.
Proposals must include discussion of how the proposed project will address one or more of the following measures of success: (1) improvements in student educational outcomes, (2) support undergraduates, graduates, and postdoctoral fellows, (3) training for undergraduate and graduate students in a specific critical area, (4) curriculum developed and shared, (5) participants hired into a STEM related field, and (6) publications from research.
The CyberAI SFS program supports student scholarships for service (Scholarship Track) and educational innovations (Innovation Track).
Scholarship Track
The Scholarship Track funds academic institutions to award scholarships to students. In return students agree to work in the AI or cybersecurity mission of a government agency. This post-graduation work period must be at least as long as the scholarship. All scholarship recipients must be U.S. citizens or lawful permanent residents. Proposals submitted to this track must clearly specify one of two focus areas in the proposal summary:
- Focus Area–Cyber: prepares cyber experts to use AI in cybersecurity operations. The scholars must complete a formal cybersecurity program (major, minor, concentration, track, certificate, etc.) with at least four cybersecurity courses and a minimum of two AI courses.
- Focus Area–AI: prepares AI professionals to protect the security of AI systems and infrastructure. The scholars must complete a formal AI program (major, minor, concentration, track, certificate, etc.) with at least four AI courses and a minimum of two cybersecurity courses.
All proposals must include meaningful opportunities for scholars to engage in informal learning experiences (competitions, service learning, etc.), mentored research, and applied projects in AI and cybersecurity. Proposals may address the security of emerging domains such as quantum computing, aerospace, energy, or other high-impact sectors where AI and cybersecurity are converging. |
| UM Nominations Process: |
Those interested in applying should submit the following as a single pdf document to collabor@umn.edu no later than 4pm on: 02/20/2026
- Cover page including PI name, department, contact information, project title, any co-PI's name and department, and one paragraph project abstract.
- Project summary - to include solicitation specific information. (not more than three pages)
- Biosketch of PI and any co-PI's (2 - 5 pages, NSF, NIH, or other relevant format).
- 2-3 names of possible UMN reviewers (NOT References) (with no Conflicts of Interest) plus 5 keywords to be used as search terms for possible reviewers (can be added to Cover Page).
Contact Research Advancement at collabor@umn.edu with questions. |