Pivotal Research 正在伦敦招募9周全职AI安全研究员。该项目提供丰厚的津贴（£6-8k）、住宿和差旅支持（£2k），以及计算资源（£2.5k+）。研究员将与来自Google DeepMind、Redwood Research、SecureBio等顶尖机构的导师紧密合作，专注于技术安全、治理与政策、技术治理或AIxBio等领域的研究。该项目旨在支持研究人员产出高质量的学术论文或报告，且约70%的往期研究员获得了长达6个月的延期资助。申请截止日期为2025年11月30日（UTC）。

💡 **研究方向广泛且深入**：项目涵盖技术安全、治理与政策、技术治理以及AIxBio等多个前沿AI安全领域，为研究员提供与顶尖导师合作的机会，共同产出10-20页的研究论文或报告，推动AI安全研究的进展。

💰 **全面的经济支持**：提供£6,000-£8,000的薪资、£2,000的住宿及差旅补贴，以及超过£2,500的计算资源预算，确保研究员能够专注研究，无需担忧经济负担。

🚀 **职业发展与成果转化**：项目拥有高比例（约70%）的往期研究员获得长达6个月的延期资助，为有潜力的研究员提供持续深入研究的机会，并有许多校友在知名AI安全机构任职或创办相关组织，为职业发展奠定坚实基础。

🏢 **优越的研究环境**：提供伦敦LISA的联合办公空间，并包含午餐和晚餐，营造一个协作且支持性的研究氛围，方便研究员进行交流与合作。

Published on November 12, 2025 3:21 PM GMT

TL;DR: 9-week, full-time AI safety research fellowship in London. Work closely with mentors from leading orgs such as Google DeepMind, Redwood Research, SecureBio, etc. Receive a £6-8k stipend, £2k accommodation + travel support, £2.5k+ compute, co-working (with meals) at LISA. ~70% of recent fellows continued on fully-funded extensions (up to 6 months).

Apply by Sunday, 30 November 2025 (UTC): https://pivotal-research.org/fellowship

What You'll Do

Work with your mentor from Google DeepMind, GovAI, UK AISI, Redwood Research, SecureBio, FAR AI, and other leading organisations to produce AI safety research (in Technical Safety, Governance & Policy, Technical Governance, or AIxBio). Most fellows complete a 10-20 page research paper or report. 70% of recent fellows are doing fully funded extensions for up to 6 months.

Support

We try to provide everything that helps you focus on and succeed with your research:

Research management alongside mentorship£6,000-8,000 stipend (seniority dependent)£2,000 accommodation support + travel support£2,500+ compute budgetCo-working at LISA with lunch and dinner provided

More information on our fellowship page

Mentors (more to be added):

Ben Bucknall (Oxford Martin AIGI): Model Authenticity GuaranteesDylan Hadfield-Menell (MIT): Moving beyond the post-training frame for alignment: interpretability, in-context alignment, and institutionsEdward Kembery (SAIF): International Coordination on AI RisksEmmie Hine (SAIF): Chinese AI GovernanceErich Grunewald (IAPS): Impact & Effectiveness of US Export ControlsJesse Hoogland (Timaeus): SLT for AI SafetyProf. Robert Trager (Oxford Martin AIGI): Technical Scoping for Global AI ProjectElliott Thornley (MIT): Constructive Decision TheoryLucius Caviola (Leverhulme): Digital Minds in SocietyJonathan Happel (TamperSec): Hardware-Enabled AI GovernanceJoshua Engels & Bilal Chughtai (GDM): InterpretabilityJulian Stastny (Redwood): Studying Scheming and AlignmentLewis Hammond (Cooperative AI): Cooperative AIMax Reddel (CFG): Middle-Power Strategies for Transformative AINoah Y. Siegel (GDM): Understanding Explanatory FaithfulnessNoam Kolt (Hebrew University): Legal Safety EvalsOscar Delaney (IAPS): Geopolitical Power and ASIPeter Peneder & Jasper Götting (SecureBio): Building next-generation evals for AIxBioStefan Heimersheim (FAR AI): Mechanistic InterpretabilityTyler Tracy (Redwood): Running control evals on more complicated settings

Who Should Apply

Anyone wanting to dedicate at least 9 weeks to intensive research and excited about making AI safe for everyone. Our fellows share one thing (in our biased opinion): they're all excellent. But otherwise, they vary tremendously – from 18 y.o. CS undergrad to physics PhD to software engineer with 20 years of experience.

Our alumni have gone on to:

Work at leading organisations like GovAI, UK AISI, Google DeepMind, Timaeus, etc.Found AI safety organisations like PRISM Evals and Catalyze ImpactContinued their research with extended funding

Apply now

This is our 7th cohort. If you're on the fence about applying, we encourage you to do so. Reading the mentor profiles and application process itself helps clarify research interests, and we've seen fellows from diverse backgrounds produce excellent work.

Deadline: Sun. November 30, 2025 (UTC)
Learn more: https://pivotal-research.org/fellowship

The program is in-person in London, with remote participation only for exceptional circumstances.

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