Research Scholar

The Research Scholar role is a one-year visiting position. It is designed to support the career development of AI governance researchers and practitioners, while offering opportunities to do impactful work. As a Research Scholar, you will have freedom to pursue many different projects. This could include conducting policy research, social science research, or technical research; advising policymakers; or starting new applied projects. For example, past scholars have used the position to help define the field of technical AI governance, inform frontier AI company safety frameworks, support policymaking through government secondments, and launch a new organisation to build safety evaluations and RL environments for frontier AI companies. The topics we work on include, but are not limited to: risk management, threat modeling, economics of AI, geopolitics of AI, public policy, and technical governance. Over the course of the year, you will deepen your understanding of the field, connect with a network of experts, and build your skills and professional profile – within an institutional home that offers both flexibility and support.

Applications for the Research Scholar position are open. The deadline for applications is 23:59 Anywhere on Earth (AoE) on Sunday, 16 August 2026.

About the Role The Research Scholar role is designed to support your career development in AI governance, with significant flexibility to pursue this goal as you see fit. You will be supervised by a member of the GovAI team or network (typically meeting weekly), be mentored by an external expert or another GovAI team member, receive guidance and support from one of our Research Managers, and get feedback from our team through regular work-in-progress sessions.

Your Research Scholar year may involve: - Informing policymakers and decision-makers on pressing governance issues - Producing original research in the form of academic publications, policy memos, reports, or blog posts - Convening key stakeholders around high-priority questions - Launching a new initiative or organisation - Helping assess prospective new hires for our seasonal fellowship and scholar/fellow roles

Areas of Interest Our researchers work on a broad range of topics related to AI governance. While much of our work concerns general-purpose AI systems, we're also interested in research on narrower AI applications and their policy implications. Our research spans several areas, including:

- Risk Management: How can AI companies make responsible development and deployment decisions, successfully managing risks without hindering innovation and adoption? What is the role of third parties – evaluators and auditors – in informing such decisions? - Threat Modeling: What is the state of evidence regarding different hypothesized risks from AI and what further information would be most useful for reducing uncertainty? At the same time, what role can AI progress and adoption play in mitigating risks? - Economics of AI: What will the economic implications of AI development and deployment be? How might it affect labour markets, competition, and growth? - Geopolitics of AI: What strategies are different states using to compete in AI and how effective will they be? How do geopolitical dynamics shape AI development and governance? - Frontier AI regulation: What effects will different regulatory proposals have on frontier AI? In what ways will existing regulation need to be amended or removed in light of AI developments? - Technical Governance: What technical work could help address challenges in AI governance? To what extent is compute an important tool? How can evaluations keep pace with AI progress?

We are also interested in researchers pursuing other topics, including the implications of AI R&D automation, the use of AI by governments, increasing society’s resilience in anticipation of advances in AI, and how society can capture AI benefits. Some of our most impactful Research Scholars have dedicated the majority of their time to applied work, rather than traditional research.

Qualifications and Selection Criteria We are open to candidates with diverse academic and professional backgrounds. We have previously hired researchers with backgrounds in computer science, political science, public policy, economics, history, philosophy, and law, as well as professionals from government, industry, and civil society. There are no educational requirements for this role.

Essential Qualifications Successful candidates will have: - A strong interest in positively shaping the lasting impacts of AI, in line with our mission - Demonstrated ability to produce excellent work or achieve impressive results - Some familiarity with AI governance - Some expertise in a domain that is relevant to AI governance - A compelling explanation of how this position will help you have a large impact

What We Value They will also likely demonstrate: - Self-direction and the ability to evaluate projects based on impact - Intellectual honesty and rigor - Receptiveness to feedback and commitment to self-improvement - Strong communication and collaboration skills - Motivation to help others succeed

Additional Considerations For candidates who are hoping to do specific kinds of work (e.g. technical research) or work on particular topics (e.g. US policy), we will also look for expertise and experience in those particular areas.

Duration, Location, and Salary Duration Contracts will be for a fixed 12-month term. While these contracts are non-renewable, Research Scholars may apply for longer-term positions at GovAI — such as Research Fellow positions — at the end of their contract.

Location We typically prefer candidates to be based in London, UK or Washington, DC, but are open to candidates based elsewhere (e.g. the Bay Area). We do have stronger location preferences in some cases: - Policy-focused work: If you plan to focus heavily on a particular government’s policies, we prefer you to be based in or near the relevant city (e.g. Washington DC for US federal policy). - Project management roles: If you’ll be managing projects or launching new initiatives, we prefer you work out of one of our offices. - Supervisor preferences: Some supervisors prefer their supervisees to be based in the same office as them.

Salary Compensation is based on experience and location. Successful candidates based in London typically receive between £75,000 and £103,500 per year, and those based in Washington, DC typically earn $100,000–$165,000. We offer additional compensation for candidates in higher cost-of-living regions, such as the San Francisco Bay Area. There may be additional flexibility in compensation in cases where salary considerations would prevent a candidate from accepting an offer.

Other benefits of the role include: - Health, dental, and vision insurance - A £5,000 annual wellbeing budget (a salary uplift in lieu of this budget for US-based staff) - A £5,000 (~$6,500) annual professional development budget - A £5,000 (~$6,500) annual childcare budget - Remote staff get a £4,500 (~$6,000) annual coworking space budget - Flexible work hours - Extended parental leave - Ergonomic equipment - A 10% employer pension contribution - 33 days of paid vacation (including public holidays)

How to Apply and What to Expect Application Process The selection process has four stages: - Written application - An abstract reasoning assessment - 1-2 paid remote work tests - Two interviews and reference checks

Please contact [email removed - click apply for more details] if you have questions or concerns regarding compensation or benefits that might affect your decision to apply.