Cambridge ERA:AI Fellowship

📖 About Cambridge ERA:AI Fellowship

The Cambridge ERA:AI Fellowship is an 8-week research programme hosted in Cambridge, UK. The Winter Fellowship begins on 2nd February 2026. This programme is designed to support individuals committed to advancing AI safety and governance research.

Opportunity Details:

• Date Published: September 23, 2025
• Application Deadline: October 27, 2025
• Category:
  • Postgraduate
  • PhD
  • Fully Funded
  • Grants

🎁 Benefits of Cambridge ERA:AI Fellowship

Participants of the Cambridge ERA:AI Fellowship will enjoy the following benefits:

• Full funding:
  Fellows receive a salary equivalent to £34,125 per year, prorated to the duration of the fellowship. Additional benefits include:

  • Complimentary accommodation
  • Meal provisions during working hours
  • Visa support
  • Travel expense coverage

• Expert mentorship:
  Fellows will work closely with a mentor on their research agenda. Mentors are matched with fellows after acceptance into the programme.

• Research support:
  Alumni have successfully published research in top journals and conferences such as NeurIPS. Dedicated research management support is provided to help fellows excel in their field.

• Community:
  Fellows are immersed in a living-learning environment with:

  • Dedicated desk space at the Cambridge office
  • Shared housing
  • Regular social events and community activities

• Networking and learning opportunities:
  Fellows gain skills, expertise, and networks to thrive in AI safety or policy careers. Introductions to organisations in the field are facilitated, and extra financial assistance is available for impactful career transitions.

✅ Cambridge ERA:AI Fellowship Requirements

The programme is open to anyone aged 18 or older. It is a talent-first programme that values commitment to the mission over credentials. Fellows from diverse subject areas are encouraged to apply.

Ideal Candidates:

The fellowship is especially valuable for:

• PhD students looking to align their research with AI safety
• Professionals from adjacent fields (technical or policy) seeking to transition into AI governance/safety
• Early-career researchers aiming to deepen their expertise in technical and/or governance research
• Individuals with unique perspectives that can improve understanding of AI risks

📅 Application Date and Process

• Applications for Winter 2026 are now open.
• The deadline for submitting written applications is October 27th, 2025.

How to Apply:

• View details of the fellowship on the Cambridge ERA:AI Fellowship Portal.
• Submit your application via the Application Form.

📧 Contact Information

For more details, visit the Cambridge ERA:AI Fellowship website.

• Full funding: Fellows receive a salary equivalent to £34,125 per year, which will be prorated to the duration of the Fellowship. On top of this, our fellows receive complimentary accommodation, meal provisions during working hours, visa support, and travel expense coverage.
• Expert mentorship: Fellows will work closely with a mentor on their research agenda for the fellowship. See our Mentors page to learn about previous mentors (but note that ERA mentors differ for each cohort as we match fellows with mentors once they are accepted).
• Research Support: Many of our alumni have gone on to publish their research in top journals and conferences such as NeurIPS. We provide dedicated research management support to help our fellows become strong researchers/policymakers in the field.
• Community: Fellows are immersed in a living-learning environment. They will have a dedicated desk space at our office in Cambridge and are housed together. There are regular social events and community activities throughout the fellowship.
• Networking and learning opportunities: We assist fellows in developing the necessary skills, expertise, and networks to thrive in an AI safety or policy career. We can facilitate introductions to many organisations in the field. In special cases, we also provide extra financial assistance to support impactful career transitions.