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• Host Organization: Centre for the Governance of AI (GovAI)
• Location: London, United Kingdom
• Duration: 3 months (January 19 – April 10, 2026)
• Funding Type: Fully Funded
• Eligible Applicants: All nationalities
• Application Deadline: July 13, 2025

Fellowship Overview

The GovAI Winter Fellowship is a prestigious, fully funded opportunity for early-career professionals, researchers, and students interested in AI governance. Fellows will join the GovAI team in London to conduct independent research, receive mentorship from leading experts, and contribute to shaping the future of responsible AI development.

What You’ll Gain

• £11,000 stipend for the full duration
• Travel support to and from London
• Weekday meals and dedicated office space
• UK work visa sponsorship (3-month temporary visa)
• Access to workshops, Q&A sessions, and networking events with top AI governance professionals

Fellowship Objectives

• Conduct independent research on a topic of your choice within AI governance
• Receive guidance from GovAI mentors and produce a final output (e.g., report, article, blog post)
• Build connections with experts from organizations like DeepMind, OpenAI, and Anthropic
• Explore career pathways in AI policy, ethics, and regulation

Who Should Apply

GovAI welcomes applicants from diverse backgrounds, including:

• Government and public policy
• Academia and research institutions
• Private sector and tech industry
• Non-profit and civil society organizations

No specific degree is required. Applicants may be students, graduates, or professionals with experience in fields such as:

• Political science
• Computer science
• Economics
• Law
• Philosophy
• Sociology
• History

Selection Criteria

• Quality of written and analytical work
• Relevant expertise or potential to contribute meaningfully
• Sound judgment and research direction
• Alignment with GovAI’s mission and team culture

How to Apply

1. Visit the GovAI Fellowship Application Portal
2. Complete the online form and upload required documents (CV, transcripts, references)
3. Selected candidates will proceed through a multi-stage process:
   • Written submission
   • Automated assessment
   • Paid remote work test
   • Final interview

This is a rare opportunity to work at the intersection of technology and policy in one of the world’s leading AI governance institutions.