Talent for Teaching Grant

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). Funding Opportunity Number: 26-503. Assistance Listing: 47.076. Funding Instrument: G. Category: ST. Award Amount: $300K – $2.5M per award.

The U.S. Army Research Office (ARO) in partnership with NSA’s Laboratory for Physical Science (LPS) is soliciting Incubator, Collaboration, and Fellowship research proposals for participation in the LPS Qubit Collaboratory (LQC). The mission of the LQC can be captured in three broad goals: 1) pursue disruptive fundamental research and enabling technologies with a focus on qubit development for quantum computing and other applications (such as sensing); 2) grow deep, collaborative partnerships to tackle the most difficult and relevant long-term problems in quantum information science and technology; and 3) build a quantum workforce of tomorrow through research experiences in government at LPS and at LQC partners. The LQC will offer a mechanism for collaborative research between LPS and academia, industry, FFRDCs, and Government Laboratories to advance foundational and transformative research on challenging problems that have hindered progress in quantum information processing and associated technologies.The goal of this BAA is to seek proposals that bring together expertise from the public and private sectors and their respective research infrastructures to advance solutions that may be best approached as a collaborative team. A Collaboratory is “a center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries. This BAA introduces LQC Research Thrusts (A.1.1) which are the technical areas of interest—which will be updated periodically—where partners of the LQC will pursue joint research with LPS through Incubator (A.1.2) and Collaboration (A.1.3) collaborative agreements. The LQC BAA also fulfills the Government’s overarching interest--through the proposed research and on-site research experiences--in creating and training a workforce in quantum science and technology, generating pathways of solutions that feed technology development, establishing partnerships, and creating transition opportunities. In further support of training through research, Section A.1.4 calls for Quantum Computing Research (QuaCR) Graduate and Postdoctoral Fellowships for US citizens working in areas of interest.Substantial progress on solving the most difficult and long-term Quantum Information Science & Technology (QIST) research problems that unleash further rapid progress in the field will constitute LQC success. Examples of such research problems include (but are not limited to): limits of performance due to device design, material selection, and/or control, the exploration of alternative qubit physics (e.g., different approaches to qubit encoding or types of gates) and lowering of barriers to such approaches, advances in materials that improve qubit gate fidelity, reducing the overhead of classical components in quantum information technology and optimizing classical performance, and the exploration of applications of quantum technologies to new domains.Three categories of proposals are sought for this BAA:1.Incubator opportunities seek partnership proposals from single investigators and small research groups, including teaching colleges, who may have unique skillsets to contribute toward the pursuit of the research thrusts presented in A.1.1. Incubator proposals may also be the development of concepts into a detailed technical research approach to advance solution of problems of high interest to quantum information science research. Incubator proposals would avail themselves of the collaboration opportunities with LPS research staff and infrastructure made available at the Laboratory for Physical Sciences (LPS) to lay the groundwork for concepts that may be suitable for a Collaboratory proposal or responses to other DoD quantum information science research opportunities.2.Collaboratory proposals seek research proposals that bring together a strong significant collaboration--researchers from academia, industry, FFRDCs, and/or Government Laboratories--to pursue long-term projects focused on fundamental problems of interest to qubit development and/or associated science and technology. These collaborative groups will propose to work together in a focused manner for a period of time expected to be one to three years in order to demonstrate a proof-of-concept experiment and/or theory exploration to determine the feasibility of their creative idea.3.QuaCR Research Fellowship proposals seek to support talented U.S. citizen graduate students and postdoctoral researchers in the field of quantum information processing (primary interest) and quantum sensing (secondary interest). Applicants with a background from either within or outside QIS are encouraged. The proposed research areas are described in this BAA and must enhance active Quantum Information Science research efforts being supported by the Army Research Office and/or LPS. Research fellows are encouraged to complete an LPS Internship during their graduate career or visit during their postdoctoral fellowship.Funding Opportunity Title: LPS Qubit Collaboratory Special Research Topics Announcement: W911NF21S0009-SPECIALNOTICE-1The U.S. Army Combat Capabilities Development Command (DEVCOM), Army Research Laboratory (ARL)-Army Research Office (ARO) is looking for proposed research and development solutions under the Broad Agency Announcement (BAA) W911NF21S0009-2 for Basic and Applied Scientific Research in Quantum Computing. The title for this Special Notice is “LPS Qubit Collaboratory Special Topics.” Upon receipt, compliant proposals will be reviewed through a technical and programmatic process in accordance with the evaluation criteria referenced in the W911NF21S0009-2 LQC BAA to determine which proposal may be awarded Grant, Cooperative Agreement, or Procurement Contract under this topic. Funding Opportunity Number: W911NF21S0009. Assistance Listing: 12.431. Funding Instrument: CA,G,PC. Category: ST.

CyberAICorps Scholarship for Service (NSF 26-503) is NSF's response to what the solicitation calls a talent shortfall in artificial intelligence and cybersecurity, and it is worth understanding that CyberAI here means two distinct things: using AI in cybersecurity operations, and securing the AI systems themselves. Proposals should be explicit about which they address. The program runs two tracks with very different economics. The Scholarship Track, capped at $2,500,000, funds student scholarships that carry a post-graduation government service obligation - scholars complete formal degree programs with integrated AI and cybersecurity coursework and participate in internships and mentored research. The Innovation Track, capped at $500,000, is the education-research channel: curricula, teaching methods, faculty professional development, and communities of practice in AI and cybersecurity education, judged substantially on potential for wide adoption beyond the applicant institution. Both tracks have a $300,000 floor, and NSF anticipates up to 25 projects per fiscal year. Eligibility differs by track in a way that matters for community colleges: under the Scholarship Track they are eligible only as sub-awardees of four-year institutions, whereas under the Innovation Track they may lead. Scholars themselves must be U.S. citizens or lawful permanent residents. The Scholarship Track deadline recurs on the third Tuesday in July annually - the 21 July 2026 deadline has passed, so the next full proposal deadline falls in July 2027, with an Innovation Track target date in early April.