AI Winter Fellowship 2025

3 mn read

Deadline : Sunday 11 August 2024, 23:59 BST

Summer and Winter Fellowships provide an opportunity for early-career individuals or established professionals new to the field of AI governance to spend three months working on an AI governance research project, learning about the field, and making connections with other researchers and practitioners. We are looking for candidates who are strongly considering using their careers to study or shape the long-term implications of AI.

About the Fellowship

Summer and Winter Fellows join GovAI to conduct independent research on a topic of their choice, with mentorship from leading experts in the field of AI governance. Fellows will also join a series of Q&A sessions with AI governance experts, research seminars, and researcher work-in-progress meetings. Each Fellow will be paired with a supervisor from the GovAI team or affiliate network.

You can read about the topics our previous cohorts of Summer and Winter Fellows worked on here and here.

Past Fellows have gone on to work on AI governance full-time in government or at organisations including GovAI, OpenAIthe AI Now Institute, and RAND. Others have gone on to build relevant expertise at leading universities such as MIT, Stanford University, University College London, and the University of Oxford.

Qualifications and Selection Criteria

We strongly encourage you to apply if you have an interest in our work and are considering using your career to study or shape the long-term implications of advanced AI.

Given the multidisciplinary nature of our work, we are interested in candidates from a broad set of disciplines including political science, public policy, history, economics, sociology, law, philosophy, and computer science. We are particularly interested in hosting more researchers with strong technical backgrounds. There are no specific educational requirements for the role, although we expect that the most promising candidates will typically have relevant graduate study or research experience in related areas.

Assessment Criteria

When assessing applications, we will be looking for candidates who have the following strengths or show positive signs of being able to develop them:

Quality of work: The ability to produce clearly written, insightful, and even-handed research. We are particularly excited about strong reasoning ability and clear and concise writing.

Relevant expertise: Skills or knowledge that are likely to be helpful for work on AI governance. We think that relevant expertise can take many different forms. Note that we also do not have any strict degree requirements.

Judgement: The ability to prioritise between different research directions, and good intuitions about the feasibility of different research directions.

Team fit: Openness to feedback, commitment to intellectual honesty and rigour, comfort in expressing uncertainty, and a serious interest in using your career to contribute to AI governance.

Salary, Duration, and Location

Summer and Winter Fellowships last for three months, and Fellows will receive a stipend of £9,000, plus support for travelling to Oxford. While in Oxford, we provide our Fellows with lunch on weekdays and a desk in our office. This is intended to be a full-time and in-person role, based in Oxford, UK. We are able to sponsor visas. For successful applicants who require a visa, note that you will need to remain in your country of visa application for some time while the visa application is underway.

Winter Fellows will join for three months, between January and April (precise dates TBC).

How to Apply and What to Expect

The application process consists of a written submission in the first round, a remote work test in the second round, and an interview in the final round. We expect to reach out to Winter Fellowship candidates for paid work tests in August, offer interviews in September, and communicate final decisions to candidates in October. Please feel free to reach out to recruitment@governance.ai if you would need a decision communicated earlier than the standard timeline (this may or may not be possible), or have questions about the application process.

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