Website Cambridge University
The Cambridge ERA: AI Fellowship is an eight-week research program in Cambridge, UK. It is designed for researchers and entrepreneurs working to understand and reduce risks from advanced AI systems. The winter session starts on 2nd February 2026.
About the Fellowship
This fellowship provides full funding, expert mentorship, research support, and a strong community. Fellows work closely with mentors, gain access to research management support, and can publish their work in top journals and conferences. The program also offers networking and learning opportunities in AI safety and policy.
Host Country
United Kingdom
Host University
Cambridge University
Fellowship Type
Research Fellowship
Degree
Not applicable (short-term research program)
Eligibility Criteria
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Early-career researchers, PhD students, and working professionals
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Fields such as law, engineering, computer science, or related disciplines
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Strong interest in AI governance, technical AI governance, or technical AI safety
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Must ensure academic integrity in all application materials
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Valid passport with at least one blank page for visa
Fields of Study
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AI Governance
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Technical AI Governance
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Technical AI Safety
Fellowship Benefits
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Full funding with prorated salary (£34,125 per year equivalent)
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Accommodation and meals during working hours
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Visa and travel expense coverage
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Dedicated desk space and living-learning environment
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Mentorship from experienced researchers
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Networking and career support
Required Documents
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Completed application form
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Short essays answering fellowship questions
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CV or resume
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Proof of academic or professional background (if applicable)
Application Process
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Submit a written application including short essay questions (takes ~2 hours)
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Applications are evaluated on a rolling basis
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Shortlisted applicants invited to two interviews
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Successful candidates notified by mid-November
Registration Deadlines
| Step | Date |
|---|---|
| Application opens | Now |
| Application closes | 3rd November 2025 |
| Interviews | Rolling, mid-November notification |
Selection Process
Applicants are evaluated on:
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Originality and quality of written responses
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Research experience and potential impact
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Alignment with fellowship tracks
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Interviews and overall fit
Tips to Succeed
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Focus on content, not polish, in essays
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Highlight personal experience and insights
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Apply even if you do not meet all criteria
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Ensure academic integrity in all answers
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Prepare your passport for visa application
Frequently Asked Questions (FAQ)
| Question | Answer |
|---|---|
| What are the fellowship dates? | 2nd February 2026 – 27th March 2026 |
| Can I apply if I am not a PhD student? | Yes, early-career researchers and professionals are welcome |
| Are visas supported? | Yes, ERA covers visa support |
| Is prior AI experience required? | No, but interest in AI governance or safety is expected |
| How long does the application take? | Approximately 2 hours for essays |
Why Choose This Fellowship
This fellowship offers strong mentorship, full funding, a collaborative research environment, and connections to top AI research and policy networks. It is ideal for those who want to grow as AI researchers, policymakers, or entrepreneurs.
Career and Future Opportunities
ERA fellows gain skills, networks, and experience to pursue careers in AI research, governance, technical safety, and policy-making. Many alumni have published work in leading journals and conferences.
Student Experiences
Fellows have appreciated the collaborative community, expert mentorship, and opportunities to contribute to high-impact AI research. The living-learning environment enhances both professional and personal growth.
Contact Information
Email: hello@erafellowship.org
Official Website: https://erafellowship.org/fellowship
Apply Here: https://airtable.com/app8tdE8VUOAztk5z/pagzqVD9eKCav80vq/form
Conclusion
The Cambridge ERA:AI Fellowship 2026 is a fully funded, eight-week program for researchers and professionals passionate about AI governance and safety. It provides mentorship, research support, and career opportunities in a collaborative and immersive environment.
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