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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.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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.
Wolfson College Sports Awards is sponsored by Wolfson College, University of Cambridge. These awards provide financial assistance to student members of Wolfson College who are training with or competing on a University team in a sport for which a Blue or Half-Blue is awarded. Funds can cover high annual subscription fees or direct training costs.
2025 Seed Grant for AI & Energy is a grant from the Wilton E. Scott Institute for Energy Innovation and the Block Center for Technology and Society at Carnegie Mellon University that funds energy and climate research projects. The program has supported research since 2012 and expanded in 2025 to include a joint seed grant with the Carnegie Bosch Institute focused on evaluating household smart and flexible energy technologies and their contribution to power grid stability and efficiency. Recipients are expected to apply for larger externally funded projects after the initial seed period. Awards range from $10,000 to $75,000. Eligible applicants must be CMU faculty who are Scott Institute Faculty Affiliates; co-sponsored funding requires CBI Faculty Host status.
The MIT Generative AI Impact Consortium (MGAIC) is an MIT-wide initiative bringing together industry partners and MIT faculty to advance generative AI research with high real-world impact. The consortium awards seed grants to MIT-led research teams across priority areas including: multimodal tactile sensing for robotics, real-time collaborative AI agents (e.g., jam_bots for live human-AI musical improvisation), understanding how LLM agents deviate from human choices and decision-making, foundation models for scientific discovery, generative AI for design and engineering, AI for healthcare and biology, and AI-augmented education. Each consortium funding cycle issues call for proposals from MIT faculty, with industry partner alignment guiding priority areas. Industry members include Analog Devices, Coca-Cola, OpenAI, Tata, Cisco, TWG Global, SK Telecom, McKinsey, Citi, and Verizon. Selected projects benefit from industry collaboration, data sharing, compute access through partner companies, and pathway to commercialization or real-world deployment. The consortium is hosted by MIT Schwarzman College of Computing in partnership with MIT Sloan and benefits from cross-MIT participation including CSAIL, Media Lab, and MIT-IBM Watson AI Lab.
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