Currently 9 active fellowships open to applicants in the UK, across AI, arts, film, journalism, research, tech and cross-disciplinary practice. Hand-curated and updated weekly. Almost every entry is funded; a few notable unpaid open calls and festival submissions are included as clearly flagged exceptions. Browse the list below, or use the interactive desk for filtering and shortlisting.
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Jane Street's Graduate Research Fellowship supports exceptional doctoral students in electrical engineering and computer science, mathematics, physics or statistics; research does not need to relate to trading. ELIGIBILITY: PhD students with at least one year remaining in their programme, or those committed to start a PhD at a specified university in fall 2027; fellows must be active full-time PhD students at an accredited research institution in the United States, Canada, the United Kingdom, Europe, Australia, New Zealand or Singapore during the award year. International students are eligible and encouraged. WHAT YOU GET: full tuition and fees for the upcoming academic year plus a USD 50,000 stipend (or local-currency equivalent; taxable); finalists receive USD 5,000. APPLICATION: CV, an optional one-to-two-page research statement and recommender contact details. DEADLINES: student applications 13 November 2026 AoE; recommendation letters 1 December 2026; notifications in February 2027. Questions: graduate-research-fellowship@janestreet.com.
Arts and Culture at the University of Exeter offers two Creative Fellowships: 4 to 5 week exploratory placements (not residencies) in which a creative practitioner works as a peer alongside a university host, opening new approaches and conversations while developing their own practice. Open to any artform, including visual, digital, sound and performing arts, craft, design, film, literature and music. The 2026/27 hosts are The Coast of Good Health research project group (led by the Department of Archaeology and History) and A Different Lens: Engaging with images from the Imperial Institute Archive (led by Special Collections), both on the Exeter campus. PAY: GBP 6,000 per fellowship (incl. VAT, freelance), covering fee, travel and accommodation, production and documentation. TO APPLY: download the callout details and application from the Arts and Culture website. DEADLINE: midnight, 15 November 2026.
The Net+ Centre for Health and Climate Solutions offers three Creative Fellowships in 2027: hosted, exploratory placements that bring a creative practitioner of any artform (visual, digital, sound, performing arts, craft, design, film, literature, music) into a research or policy setting. They are process-driven, not commissions: fellows arrive without a fixed output and develop new work with their host, supported by a dedicated cultural producer, with documentation and evaluation built in. TOPICS (apply to one only): 1) Collective creativity: connecting people, the environment and artificial intelligence, hosted by the Centre for Environmental Intelligence at the University of Exeter; 2) Nature, Value and Voice: creative inquiry into urban nature investment, hosted by the National Trust Nature Towns and Cities team; 3) Re-imagining a nature and health service, hosted by Natural England. PAY: GBP 6,000 (incl. VAT) covering a 5-week fee, equipment, travel, accommodation and production, plus GBP 1,000 for dissemination; Net+ also covers photography, event support and promotion. SKILLS: experience of placements or residencies with non-arts professionals, delivery to deadlines, interest in sustainable practice, collaborative outlook. TO APPLY: email a one-page response (up to six images or one video link) and a CV to netpositiveinfo@exeter.ac.uk, subject 'Creative Fellowship Application (Topic X)', max 10MB. Online interviews, GBP 100 for attending. DEADLINE: midnight, 15 November 2026.
A year-long fellowship for journalists covering artificial intelligence. Fellows complete a three-month full-time remote programme on AI and journalism fundamentals, attend a weeklong summit, then work for nine months as reporters embedded in a partner newsroom (current partners are in Hong Kong, London, Los Angeles, New York, San Francisco, Seattle, Washington DC and Cambridge). ELIGIBILITY: journalism or AI expertise, aged 18+ by 7 June 2027, no degree required; primarily for applicants with the right to work in the US, UK or Hong Kong, as visa sponsorship is uncommon and needs partner-outlet approval.
GovAI's Summer Fellowship brings early-career researchers and practitioners into AI governance for three months of full-time work on a research or applied project under the mentorship of a GovAI researcher. TRACKS: UK Research Track and UK Applied Track in London, plus a Washington DC track, each with its own application page. TOPICS include risk management, economics and geopolitics of AI, public policy and technical governance. ELIGIBILITY: open to applicants worldwide; must be able to work in person full time from 7 June to 27 August 2027; GovAI can sponsor temporary work visas. DEADLINE: 22 November 2026, 23:59 GMT for the UK tracks (11:59 pm EST for DC).
AIXI Labs is a small London-based non-profit doing AI safety research grounded in algorithmic information theory. Its stated position is that most AI research today is either mathematically clean but narrow, or practical but too opaque for rigorous safety analysis; the lab targets a third category, methods general enough to describe powerful agents and provable enough to support real safety claims, using AIXI (the theoretical model of unbounded artificial superintelligence) and then porting the strongest of those ideas to modern LLM-based agents. The fellowship is a quarterly, rolling programme for researchers who want to work on this agenda under close mentorship from the core team: Cole Wyeth (Founder and Executive Director), Marcus Hutter (Research Director) and Aram Ebtekar (Founding Research Scientist). Fellows pursue a focused research project over roughly a quarter and receive a monthly stipend plus a compute budget for machine-learning work. The fellowship is fully remote, so fellows may work from anywhere in the world or from the London base. RESPONSIBILITIES: pursue a self-directed research project aligned with the lab's algorithmic-information-theoretic approach to AI safety, spanning anything from foundational theory to empirical tests with LLM-based agents; shape the project direction around your own strengths and interests, as the lab supports a range of work within this framework; and contribute papers, blog posts or other written output communicating results to the broader AI safety and ML research communities. MINIMUM QUALIFICATIONS: a research background at the level of a current PhD student (for primarily empirical projects, a master's-level command of the relevant mathematics paired with substantial industry or applied research experience can also qualify); solid grounding in probability, statistics, information theory and reinforcement learning, sufficient to engage seriously with AIXI-style theoretical models (prior expertise in algorithmic information theory or AIXI is NOT required); strong verbal and written communication skills; genuine motivation to reduce existential risk from advanced AI and enthusiasm for the lab's kind of work. PREFERRED QUALIFICATIONS: publications at top ML, AI or theory venues such as NeurIPS, ICML, ICLR, ALT or COLT, though the lab values the strength of your best work over volume; background in algorithmic information theory, computability theory, learning theory or related theoretical computer science; experience fine-tuning, evaluating or red-teaming LLM-based and/or RL agents; prior engagement with the UAI/AIXI community or related fields, including members of the lab's online reading groups. APPLICATIONS are reviewed on a rolling basis and previous applicants remain eligible for later rounds.
The ILIAD Intensive is a four-week, full-time, in-person program for mathematically strong researchers interested in foundational AI alignment, running in London (at LISA) and in Berkeley. It runs five days a week, 10am to 6pm, in cohorts of 15 to 30 participants. CURRICULUM, across five clusters: Alignment (decomposing the alignment problem, pretraining, post-training and deployment, reward learning); Learning (deep learning theory, singular learning theory, training dynamics); Abstractions, Representations and Interpretability (mechanistic interpretability, natural latents); Agency (reinforcement learning, decision theory, agent foundations); and Safety Guarantees (debate, steganography, the limits of interpretability). MONEY: no tuition is charged. Each participant receives a USD 5,000 travel and housing allowance, office space at the venue, and lunch and dinner five days a week. Participants book and pay for their own travel and accommodation out of the allowance. ELIGIBILITY: a strong mathematical background, typically graduate-level study or a completed degree in mathematics, physics or theoretical computer science, though mathematical maturity is weighted more heavily than specific credentials. Research experience, general competence and motivation are also assessed. Prior machine learning or alignment experience is not required. DEADLINE: no fixed closing date is published. A single application covers several upcoming programs and applicants indicate their preferred dates and locations; applications are being accepted for the October 2026 and November 2026 cohorts. HOW TO APPLY: through the application portal at iliad.ac/apply. Questions to contact@iliad.ac.
The Anthropic Fellows Program is a four-month, fully funded research fellowship with direct mentorship from Anthropic researchers. Fellows work on empirical projects aligned with Anthropic's research priorities using external infrastructure, aiming to produce public outputs such as papers. Five workstreams: AI Safety, AI Security, ML Systems and Performance, Reinforcement Learning, and Economics and Policy; safety topics include scalable oversight, adversarial robustness, mechanistic interpretability, and model organisms. FUNDING: a weekly stipend of USD 3,850 (GBP 2,310 / CAD 4,300), around USD 15,000 per month in compute funding, and other research expenses. ELIGIBILITY: fluent Python; available full-time for four months; strong technical background in computer science, mathematics, or physics; work authorization in the US, UK, or Canada (no visa sponsorship). Locations: San Francisco, London, Ontario, or remote within those countries. APPLICATION: rolling, via the Constellation portal; the process includes an initial application, reference checks, technical assessments, interviews, and a research discussion. The next cohort is expected to start in January 2027, so apply well before the end of 2026.
Mentored, individual research in applied mathematics for AI alignment, including foundational questions that get less attention elsewhere, drawing on mathematics, theoretical physics and computer science. ELIGIBILITY: designed for PhD students, postdocs and researchers with equivalent experience in mathematics, theoretical physics, computer science or related fields; selection weighs academic credentials, technical ability, intentions and fit with the cohort's research coverage. APPLICATION: rolling, with fellowships starting at the beginning of most months.