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Recurring seasonal fellowship (Summer & Winter cohorts). Stored deadline Apr 12 2026 was the Summer 2026 deadline (now passed); apply via erafellowship.org for future cohorts.
The Cambridge ERA:AI (Existential Risk and AI) Research Fellowship 2026 is a 10-week immersive research program based at the University of Cambridge designed to support early-career researchers and PhD students exploring frontier AI safety and governance. The program offers a fully funded fellowship with salary, mentorship from leading AI safety researchers at Cambridge, and access to one of the world's premier research environments.
Fellows work on original research in AI safety, AI governance, AI alignment, and related areas of existential risk from advanced AI systems. The program commences July 6, 2026 and provides global mentorship connecting fellows with the broader AI safety research community.
This is a highly competitive opportunity for researchers who want to make the transition into AI safety and governance research or deepen their existing work in these critical fields.
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Or search similar grants →According to the current listing, eligibility includes: Early-career researchers and PhD students worldwide exploring frontier AI safety and governance. The program is described as highly competitive. Candidates should have research experience and interest in AI safety, alignment, or governance topics. Open to international applicants. Confirm the full requirements in the official notice before applying.
The current listing shows fully funded 10-week immersive research fellowship including salary, accommodation support, and global mentorship. Program commences July 6, 2026. Estimated value $7,000-$15,000 including stipend and support. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was April 12, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Cambridge ERA:AI Research Fellowship 2026 for AI Safety and Governance is funded by University of Cambridge. Verify program details on the funder's official page before applying.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The Mastercard Foundation and University of Cambridge Climate Resilience and Sustainability Research Fund is sponsored by Mastercard Foundation and University of Cambridge. This fund aims to catalyse new and strengthen existing collaborations between researchers in Africa and Cambridge and support high-quality training activities. The focus is on research on climate resilience and sustainability, interpreted broadly.
Wolfson College Sports Awards is sponsored by Wolfson College, University of Cambridge (Wolfson Foundation affiliated). Small awards to help Wolfson College students in financial need pursue their talents in sports. Priority is given to those training with or competing on a University team for a Blue or Half-Blue. Funds can cover high annual subscription fees or direct training costs.
Empire AI is New York State's answer to the compute-access problem, and this is the Cornell route into it. The consortium operates two machines: Alpha+, with 144 NVIDIA H100 GPUs, and Beta, which brings 288 B200 GPUs plus Grace CPU nodes online from December 2025. Allocations are denominated in Service Units, where one SU buys an hour of H100 time and B200 time costs two SU per hour - a pricing structure worth modelling carefully, since the newer hardware is not automatically the better value for every workload. The economics are the most consequential detail: the Cornell Provost underwrites the cost of allocations through November 2026, after which SUs carry a $0.50 charge. Applicants should therefore plan around that transition rather than assume indefinite free access. The current call covers the December 2025 to November 2026 allocation year and closes 17 September at midnight Eastern. Eligibility is narrow by design - faculty holding PI status at Cornell University, Cornell Tech or Weill Cornell Medicine - so this is not a national programme, but the same Empire AI resource is accessible through parallel calls at the other consortium institutions, and researchers at Columbia, NYU, RPI, SUNY and CUNY campuses should look for their own institution's route. The application is two-part: a Cornell-specific form plus an Empire AI-hosted form covering project details and compute requirements. Because the consortium is backed by state money and philanthropy rather than a commercial provider, there are no equity, credit-expiry or vendor-lock conditions attached.
The CU System Sprint Grant is a small, fast-turnaround internal award supporting faculty who want to develop and implement AI-driven pedagogical strategies within a single course. At up to $20,000 with an explicit allowance for one course buyout, it is designed around the real obstacle facing most faculty experimenting with generative AI in teaching - not equipment or data, but protected time. The single-course framing is a deliberate scoping decision and applicants should respect it: proposals aimed at curriculum-wide or program-level transformation are a poor fit, while a concrete plan to redesign one course around AI tools and measure the effect on student learning outcomes matches what the program is asking for. Eligibility extends to tenured and tenure-track faculty as well as full-time and instructional series faculty across all CU campuses, which is broader than many internal research awards and deliberately includes teaching-focused appointments who are often closest to the pedagogical questions at issue. This is the second of three planned cycles, so faculty who miss the October 16, 2026 deadline should expect a third round. For a grants database this entry is narrower in eligibility than a federal or foundation program - it is open only to CU faculty - but it is a useful example of the institutional micro-grant tier that has grown rapidly as universities respond to generative AI in the classroom, and comparable programs now exist at many university systems. Faculty at other institutions who find this relevant should check whether their own provost or academic affairs office runs an equivalent scheme, since these internal AI teaching grants are frequently under-advertised and undersubscribed relative to external competitions.
The Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read articleDARPA's DIAL program already had AI rediscover the Kalman filter and wavelets from scratch. SPEED DIAL (DPA26TZ05-DV003) funds the unglamorous next step: turning algorithm discovery into a tool that plugs into MATLAB, Simulink, and COMSOL. Up to $750,000 base plus a $1.25 million option, Direct to Phase II only, with a three-accomplishment feasibility gate and a mandatory university partner. Here is the milestone schedule, the interpretability requirement, and who is actually eligible.
Read articleGates committed $540.2 million over a decade to the Institute for Health Metrics and Evaluation — the largest gift in University of Washington history — while IHME's federal grant income falls from $7.3 million to a projected $4.8 million. The gift is a case study in the anchor-funder model: what it can do that federal money cannot, and the concentration risk it quietly underwrites.
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