Deadline: January 4, 2026
The GovAI Summer Fellowship presents an exceptional, fully funded opportunity for future leaders to engage directly with the critical challenges of artificial intelligence. This 3-month immersive program, running from June 8 to August 28, 2026 in London, connects passionate individuals with the forefront of AI governance, policy, and ethics. Participants are provided with the resources, mentorship, and professional network to launch or accelerate their impact in this vital field.
About the GovAI Summer Fellowship
The fellowship is an intensive, hands-on program for individuals driven to ensure artificial intelligence is developed and deployed safely and beneficially for humanity. It operates on the understanding that effective governance requires diverse perspectives from technology, law, political science, philosophy, economics, and more.
Fellows will be based at the GovAI office in London, working alongside a dynamic cohort and gaining direct exposure to leading research and real-world policy processes.
Fellowship Tracks
Applicants must choose one of two tracks, which define their core project focus during the program:
- Research Track: For those interested in in-depth academic or policy research. Fellows on this track will conduct an independent research project under the guidance of GovAI researchers. Projects might explore technical AI safety, international cooperation mechanisms, economic impacts, or ethical frameworks for AI deployment.
- Applied Track: For those focused on implementation, strategy, and operations. Fellows on this track will work on applied projects, which could involve policy analysis for governments, designing governance frameworks for organizations, contributing to strategic communications, or developing educational resources.
Fellowship Benefits & Support
Selected fellows receive comprehensive support to ensure they can focus entirely on their professional and intellectual growth:
- Financial Support: A generous stipend of £12,000 to cover living expenses in London for the duration of the program.
- Logistical Assistance: Full travel support (economy class flights) to and from London, along with dedicated administrative help for visa sponsorship.
- Professional Workspace: A dedicated desk and full access to the GovAI office facilities.
- Mentorship & Training: One-on-one mentorship from senior GovAI researchers and practitioners. Fellows also participate in a curated seminar series featuring external experts from academia, government, and industry.
- Network Access: Unparalleled networking opportunities with a global community of AI governance professionals, including researchers, policymakers, and thought leaders.
Who Should Apply?
This program is designed for talented, early-career individuals from any academic or professional background who demonstrate a serious commitment to AI governance. Ideal candidates include:
- Advanced undergraduates (final year) or recent graduates.
- Current Master’s or PhD students.
- Early-career professionals (with ≤ 3 years of post-graduate experience) in fields like tech, law, public policy, research, or consulting.
We seek candidates with strong analytical abilities, clear communication skills, and a proactive, collaborative mindset. No prior professional experience in AI is strictly required; a demonstrated passion for the field’s societal implications is key.
Program Timeline & Key Dates
- Application Deadline: January 4, 2026 (11:59 PM GMT)
- Interviews: February 2026
- Fellowship Offers: Early March 2026
- Program Duration: June 8 – August 28, 2026 (12 weeks)
How to Apply
The application is submitted online and typically requires:
- A completed application form.
- A current CV/resume.
- Responses to short essay questions outlining your interest in AI governance and your potential project ideas.
- Academic transcripts.
- Contact information for references (letters may be requested later).
To apply click here
Don’t miss this chance to contribute to shaping the future of artificial intelligence alongside a global community of experts.
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