Distinguished Early Career Program NOFO Part 1 & 2

Consolidated Innovative Nuclear Research NOFO Part 1 & 2 (FY 2025) is sponsored by U.S. Department of Energy Office of Nuclear Energy (NE). This Notice of Funding Opportunity (NOFO) addresses the competitive portion of DOE-NE's R&D portfolio, as executed through the Nuclear Energy University Program (NEUP) and the Nuclear Science User Facilities (NSUF).

The ONR Young Investigator Program, running since 1985, is one of the most valuable early-career awards in U.S. defense research: roughly 750,000 dollars over three years, awarded to the individual rather than to a project team, with wide latitude to define the research agenda so long as it addresses an area of interest to an ONR program officer. For AI researchers the relevant areas are autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, and the broader autonomy portfolio that ONR has built out over the past decade. The eligibility window is narrow and strictly enforced: applicants must be in their first or second full-time tenure-track or tenure-track-equivalent academic appointment and must have received their PhD or equivalent degree on or after 1 January 2019. Faculty at U.S. institutions of higher education and those holding equivalent positions at U.S. nonprofits are eligible. That date cut-off moves each cycle, so anyone near the boundary should check it against the current NOFO rather than assume continuity from a prior year. The single most important tactical point about YIP, and the one that most distinguishes successful from unsuccessful applicants, is that proposals are evaluated against the interests of specific ONR program officers. Contacting the relevant program officer before writing, to confirm that the proposed direction matches an active need, is effectively a prerequisite rather than a courtesy - unsolicited proposals that no program officer has an appetite for do not fare well regardless of technical quality. The FY2027 competition is NOFO N0001426SF004, with full proposals due 30 October 2026 at 5:00pm Eastern.

This is the one technical area of ARIA's Safeguarded AI programme that remains open - TA1.1, TA1.2, TA1.3, TA1.4, TA2 and TA3 are all archived or cancelled - and it is worth understanding what distinguishes it from the general run of AI safety funding. The work is not empirical alignment research or evaluations. It is building production-grade, security-critical software components whose key security properties are backed by machine-checked proofs, with AI used to assist the formal verification itself. That places it at the intersection of formal methods, systems security and AI, and a team without genuine proof-assistant capability will not be competitive regardless of its AI credentials. The structure is unusual and should be priced in before applying. Work runs in 8-week sprint cycles, and blue teams building the secure components are stress-tested by a funded red team doing adversarial penetration testing. This is an adversarial, milestone-driven programme rather than a research grant that pays out and waits for a paper. The solicitation is rolling, assessed in quarterly batches, with the documented final deadline 31 October 2026 at 14:00 GMT - so applying early is materially better than applying at the deadline, since capacity fills as batches are decided. Eligibility is genuinely international: single organisations or teams spanning academia, industry and non-profits may apply, and there is no requirement to be UK-based, which distinguishes this from many UK government research schemes. Applications go through ARIA's grant platform at aria.grantplatform.com. Anyone considering this should read the full technical area description rather than relying on the summary, because the boundary between what counts as machine-checked and what counts as AI-assisted-but-unverified is exactly where proposals are won and lost.