GovAI Winter Fellowship 2027 in UK (Fully Funded)

Applications are now open for the GovAI Winter Fellowship 2027 in the United Kingdom. International applicants from around the world are encouraged to apply for this fully funded fellowship opportunity in London.

The fellowship is organized by the Centre for the Governance of AI and is designed to attract talented newcomers interested in the field of AI governance. Participants will have the opportunity to join the GovAI team in London, gain exposure to cutting-edge research, and contribute to discussions on the governance, regulation, and societal impact of artificial intelligence.

The Centre for the Governance of AI Winter Fellowship 2027 is a fully funded three-month program in London, running from January 18, 2027, to April 9, 2027. During the fellowship, participants will work full-time at the GovAI office, deepen their understanding of AI governance, and complete an independent research project focused on the challenges and opportunities created by artificial intelligence. The program also covers a temporary UK work visa for the fellowship period, and there is no application fee.

Artificial intelligence has the potential to transform society through scientific breakthroughs, economic growth, and improvements in health and quality of life. At the same time, it raises important policy, safety, and governance challenges that governments, technology companies, and other institutions must address. The Centre for the Governance of AI supports better decision making in this field by conducting policy relevant research and providing expert guidance on AI-related issues.

Through its fellowship and visiting scholar programs, GovAI helps develop the next generation of researchers and practitioners working in AI governance. Fellows gain valuable experience, mentorship, and practical knowledge that can help them build careers at the intersection of artificial intelligence, public policy, and global governance.

Offered by:GovAI
Duration:3 Months
Fellowship coverage:Fully Funded
Eligible nationality:All Nationalities
Award country:United Kingdom
Last date:3 January 2027
  • Stipend of £12,000 (British Pounds)
  • Travel to/from London
  • Meals
  • UK Work Visa Sponsorship
  • Office Space
  • The program’s purpose is to attract fellows to join a GovAI Team, allowing them to work autonomously on a topic of their choice while receiving supervision from renowned experts.
  • During the first two weeks, fellows work with professionals to develop a research project and produce an output such as a report or article.
  • GovAI Fellowship alumni have obtained jobs at leading AI businesses like
    • DeepMind,
    • OpenAI,
    • Anthropic.
  • Fellows can connect with AI governance professionals outside their studies through workshops, social events, and Q&A sessions. They can discuss potential work opportunities and have the opportunity to improve their abilities.

To be considered for the GovAI Winter Fellowship 2027 in the UK, international students must meet the following eligibility criteria:

  • All nationals are eligible to apply for the fellowship in London.
  • The Fellowship is open to applicants with varied professional backgrounds, including
    • Government
    • Universities (academia)
    • Private companies (industry)
    • Non-profit organizations (civil society)
  • Your precise degree is not the most significant consideration.
  • This scholarship is open to students, graduates, and anyone with research experience.
  • Professional experience in related disciplines such as political science and computer science.

The last date to apply for the GovAI Winter Fellowship 2027 in the UK for international students is 3rd January 2027.

  1. Applications are accepted from all over the world. It is necessary to finish the online application process.
  2. Gather the necessary documentation.
  3. Visit the scholarship’s website and complete the online application.
  4. Be sure to accurately fill out all of the relevant fields.gment

Selection Criteria:

  • Quality of work
  • Relevant expertise
  • Judgment
  • Team fit

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