Applications are now open for the GovAI Winter Fellowship 2027, a fully funded three-month program in London, United Kingdom, designed for individuals interested in exploring the rapidly growing field of AI governance. The fellowship will run from 18 January to 9 April 2027 at the GovAI office in London.
The program offers participants the opportunity to work alongside experts in AI governance, contribute to research projects, and develop a deeper understanding of the policies, frameworks, and ethical principles that guide the responsible development and use of artificial intelligence.
Open to applicants from around the world, the fellowship is particularly suited to those who are new to AI governance and eager to build expertise in this important and emerging field.
Who Can Apply?
The fellowship welcomes applications from:
- Individuals of all nationalities
- Current students, recent graduates, and experienced professionals
- Applicants from government, academia, industry, and civil society
- Candidates working in public institutions, private companies, non-profits, and universities
- Individuals with backgrounds in political science, computer science, economics, law, history, and related fields
Selection is based on skills, potential, and interest in AI governance rather than a specific academic qualification.
Fellowship Benefits
Successful applicants will receive:
- A £12,000 stipend to cover living expenses
- Round-trip travel expenses to and from London
- Meal support during the fellowship
- Sponsorship for a three-month UK visa
- Access to dedicated office space and professional work facilities
- Hands-on experience in AI governance research and policy discussions
Fellowship Details
Location: London, United Kingdom
Duration: 3 Months
Program Dates: 18 January – 9 April 2027
Application Deadline
30 June 2026
The GovAI Winter Fellowship is an excellent opportunity for aspiring researchers, policymakers, and professionals to gain practical experience in AI governance, build international networks, and contribute to shaping the future of responsible artificial intelligence.
