The Cambridge ERA:AI Fellowship 2027 offers an intensive 10-week research opportunity in Cambridge for talented researchers working on AI safety, AI governance and technical AI governance. Fellows receive a competitive stipend, accommodation, visa and transport support, meals during working hours, mentorship and access to a strong AI research community.
The Cambridge ERA:AI Fellowship 2027 is an intensive research programme for individuals interested in helping understand and reduce risks associated with increasingly capable artificial intelligence systems.
The next fellowship will take place in Cambridge, United Kingdom, from 18 January to 26 March 2027. Applications are currently open, with the stated deadline of 13 September 2026.
The programme brings together researchers working across technical AI safety, AI governance and technical governance questions. Fellows spend the programme developing a substantive research project with guidance from experienced mentors and opportunities to engage with researchers and organisations working in the wider AI safety community.
Background & Fellowship Description
The ERA:AI Fellowship is designed to accelerate research and develop talent focused on mitigating risks from frontier AI.
The programme supports both technical research and governance research, giving fellows the opportunity to investigate questions surrounding the development, deployment and oversight of increasingly capable AI systems.
Participants work full-time on a research project during the 10-week programme. Projects can sit within established research areas or at the intersection of technical and policy disciplines.
The programme’s research community includes connections with academia, government and industry. The organisation identifies institutions and organisations such as the University of Cambridge, UK AI Security Institute, Centre for the Governance of AI, RAND, Google DeepMind, OpenAI and Anthropic among its wider research network.
ERA also reports that more than 200 alumni have gone on to work at organisations across AI safety, governance, research and technology.
Research Areas
The fellowship currently supports three broad research tracks.
Technical AI Safety
Technical fellows can explore questions involving the behaviour and safety of advanced AI systems.
Potential areas include AI evaluations, interpretability, robustness, alignment and control. Research may examine how to identify potentially dangerous capabilities, understand model behaviour, develop safeguards and improve human oversight of increasingly autonomous systems.
AI Governance
The governance track focuses on how advanced AI should be developed, deployed and governed.
Research can cover areas such as international cooperation, regulatory design and implementation, governance and accountability, and safety frameworks for frontier AI companies.
Technical AI Governance
Technical AI governance sits at the intersection of technical AI research and policy.
Projects can examine subjects including compute governance, auditing, monitoring, hardware-enabled verification and technical standards.
The objective is to explore how technical infrastructure and measurement can help governments and other stakeholders make AI governance more informed, precise and enforceable.
Fellowship Benefits
The Cambridge ERA:AI Fellowship provides several forms of support during the programme.
Competitive Stipend
Fellows receive a competitive stipend for participating in the programme. The opportunity is commonly promoted as offering a £10,000 stipend, although applicants should confirm the exact current payment arrangements directly with ERA before applying.
Accommodation and Travel Support
ERA states that it covers transport, visas and lodging for the duration of the fellowship.
Meals are also provided during working hours.
These provisions are particularly significant for international applicants who would otherwise need to cover the costs associated with spending approximately two and a half months in Cambridge.
Research Support
Fellows receive mentorship from experienced researchers and dedicated research-management support.
Participants also have access to a generous compute budget, which can be particularly useful for fellows whose projects require computational resources.
The programme provides opportunities to discuss research with other fellows and members of the University of Cambridge community.
Professional Network
Another major component is the opportunity to build relationships with other researchers, fellows and members of the AI safety community.
ERA states that it typically hosts 30 or more events during the fellowship, providing opportunities for participants to interact with researchers and professionals working across AI safety and governance.
Qualifications
Education and Certification
The information provided by ERA does not specify a mandatory academic degree or particular professional certification for applicants.
Instead, the fellowship states that it welcomes talented individuals from around the world and at any career stage who are motivated to contribute to AI safety and governance research.
Applicants should therefore demonstrate their ability to conduct meaningful research and explain why their proposed work could contribute to mitigating risks from advanced AI.
Experience
Applicants should have a strong interest in AI safety, AI governance or related research questions.
The programme is particularly suited to individuals capable of developing and leading a substantive research project during the fellowship.
Applicants may come from different academic or professional backgrounds, especially where their expertise can contribute to technical AI safety, governance or interdisciplinary research.
A strong application should clearly communicate the research question the applicant wants to investigate, why it matters and how the fellowship environment would help advance the work.
Additional Information
The next Cambridge ERA:AI Fellowship runs for 10 weeks, beginning 18 January 2027 and ending 26 March 2027.
The fellowship will be held in Cambridge, UK.
Application deadline: 13 September 2026.
Successful fellows will work full-time on their research projects while receiving mentorship, research-management support and access to the broader AI safety community.
The programme is particularly relevant for researchers interested in the long-term challenges created by frontier AI and those looking to develop expertise at the intersection of technology, research and public policy.
Applicants should carefully review the official fellowship information and application requirements before submitting their materials.
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