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Cambridge ERA Winter Fellowship 2027 in the United Kingdom

Cambridge ERA Winter Fellowship 2027

The ERA: AI Winter 2027 Fellowship is now accepting applications for a 10-week research programme in Cambridge, United Kingdom, focused on technical AI safety, AI governance, and the emerging field of technical AI governance.

The next fellowship will run from 18 January to 26 March 2027, with applications open until 13 September 2026.

ERA: AI Winter Fellowship 2027

The fellowship is designed for talented researchers who want to contribute to work aimed at understanding and mitigating risks from increasingly capable AI systems.

Fellows can work full-time on substantive research questions, including projects that cross traditional boundaries between technical AI safety and AI policy.

Programme Details

  • Programme: ERA:AI Fellowship
  • Location: Cambridge, United Kingdom
  • Duration: 10 weeks
  • Dates: 18 January – 26 March 2027
  • Application deadline: 13 September 2026
  • Eligible applicants: Talented individuals from around the world
  • Career stage: Open to applicants at any career stage
  • Focus: Frontier AI safety and governance
  • Stipend: Competitive stipend
  • Accommodation: Covered
  • Transport: Covered
  • Visa costs: Covered
  • Meals: Provided during working hours

The programme states that fellows receive a competitive stipend and that ERA covers transport, visas, and lodging for the duration of the fellowship.

What Does the Fellowship Focus On?

ERA: AI supports research across three major tracks.

1. Technical AI Safety

This track focuses on understanding increasingly capable AI systems and developing methods to make them safer and more controllable.

Potential research areas include:

  • AI evaluations
  • Interpretability
  • Robustness
  • Alignment
  • AI control
  • Dangerous capability evaluation
  • Model behaviour monitoring
  • AI safeguards

The programme describes this work as addressing technical challenges associated with increasingly capable and autonomous AI systems.

2. AI Governance

The governance track examines how advanced AI should be developed, deployed and regulated.

Research can involve:

  • International AI cooperation
  • Regulatory design
  • Frontier AI safety frameworks
  • Corporate governance
  • Accountability
  • International coordination
  • AI policy

This makes the programme potentially relevant not only to computer scientists but also to researchers working in law, economics, public policy, international relations and governance.

3. Technical AI Governance

The third track sits between technical AI research and policy.

Research areas include:

  • Compute governance
  • AI auditing
  • AI monitoring
  • Hardware-enabled verification
  • Technical standards
  • AI regulation
  • Measuring AI capabilities
  • Verification infrastructure

This interdisciplinary focus is one of the distinctive aspects of the ERA: AI programme.

What Will Fellows Do?

During the 10-week fellowship, participants will lead a substantive research project with support from an experienced mentor.

Fellows also receive:

  • Research management support
  • Access to a generous compute budget
  • Mentorship
  • Opportunities to discuss research with other fellows
  • Access to the wider AI safety community in Cambridge
  • Research and networking events

ERA says it typically hosts 30+ events during the fellowship.

The programme is therefore more than a conventional fellowship placement. Participants are expected to actively develop research while engaging with researchers and organisations working on frontier AI safety and governance.

Who Can Apply?

ERA states that it welcomes talented individuals from around the world at any career stage who are motivated to contribute to AI safety and governance research.

This means the programme is not presented as being restricted to a particular nationality or academic degree level.

Applicants should, however, be able to demonstrate a credible interest or capability relevant to the programme’s research areas.

Funding and Support

One of the strongest features of the Winter 2027 fellowship is its financial and logistical support.

Successful fellows receive a competitive stipend, while ERA states that it will provide or cover:

  • Accommodation
  • Transport
  • Visa costs
  • Meals during working hours

This can significantly reduce the financial barriers associated with participating in a research programme in Cambridge.

Research and Mentorship

Each fellow works on a research project with an experienced mentor.

ERA’s mentor and institutional network includes researchers and professionals connected with organisations such as the University of Cambridge, UK AI Security Institute, Centre for the Governance of AI, RAND, Google DeepMind, OpenAI and Anthropic, according to the programme information supplied.

The fellowship therefore provides an opportunity to develop research while interacting with a broader frontier-AI research ecosystem.

Career and Networking Opportunities

ERA states that its 200+ alumni now work across organisations and institutions including AI safety research organisations, government institutions, universities and major technology companies.

The listed alumni destinations include the UK AI Security Institute, European AI Office, RAND, Centre for AI Safety, Future of Life Institute, Anthropic, Google DeepMind, Microsoft, MIT, University of Cambridge, University of Oxford, Stanford University and UC Berkeley.

This makes the fellowship potentially valuable for candidates looking to build a career in AI safety, AI governance, AI policy, technical AI research or frontier technology risk.

Application Deadline

Applications for the ERA: AI Winter 2027 Fellowship close on 13 September 2026.

The fellowship itself begins on 18 January 2027 and runs until 26 March 2027.

Applicants should submit their applications before the stated deadline.

Official application: Apply to ERA: AI Winter 2027

Why This Fellowship Stands Out

The Cambridge ERA: AI Fellowship could be particularly attractive to applicants who want to transition into the rapidly developing field of frontier AI safety and governance.

Unlike a conventional academic fellowship, the programme combines:

  • Intensive research
  • Expert mentorship
  • AI safety and governance
  • Technical research
  • Policy research
  • Computing resources
  • Cambridge-based networking
  • International participants
  • Financial and logistical support

It is especially relevant for people interested in the intersection of artificial intelligence, cybersecurity, public policy, technology governance, and international cooperation.

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