Currently 55 active paid ai and ai safety grants, fellowships and residencies. 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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The ETH AI Center's flagship fellowship programme funds doctoral and postdoctoral researchers doing interdisciplinary AI research, either within AI foundations or between AI foundations and application areas, including safe and trustworthy AI. Fellows are co-supervised across ETH groups and join the AI Center's community. ELIGIBILITY: doctoral track needs a Master's in computer science, machine learning, statistics, physics, engineering, applied mathematics or a related field, completed by June 2027; postdoc track needs a PhD completed by June 2027. Two to three reference letters are required. Selection weighs research excellence, interdisciplinary collaboration and impact orientation. APPLICATION: separate portals for the doctoral and postdoc tracks (linked from the programme page); deadline 27 October 2026 at 16:00 CET. Related CLS and ELLIS PhD tracks have their own applications.
Anthropic's four-month STEM Fellows Program brings mathematicians, physicists, biologists, chemists, engineers and other domain scientists in to work on unsolved problems in their own fields using Claude. Fellows join small pods of peers from related disciplines, define hard open problems that Claude currently struggles with, build datasets, simulations and evaluations, test how the model plans experiments and interprets data, and map where its answers are confidently wrong, with access to frontier models and internal tools and weekly meetings with Anthropic researchers. Some fellowships may be extended. ELIGIBILITY: a STEM PhD plus several years of experience (for example postdoc or faculty), hands-on experience with Claude and Claude Code, full-time availability, and existing US work authorisation (no visa sponsorship); prior machine-learning experience helps but is not required. Runs 12 January to 8 May 2027, full time, San Francisco by default with a required one-week in-person orientation there; remote within the US may be considered case by case. Later stages include a take-home exercise and conversations with the research team. DEADLINE: 28 October 2026 (no time zone stated); offers planned by 20 November 2026.
The Foundation for American Innovation's Conservative AI Policy Fellowship is an eight-week, part-time, work-compatible programme on AI policy for conservative policy professionals in Washington DC. WHO: congressional and executive branch staff, policy researchers and think tank staff, tech professionals moving into AI policy, and exceptional early-career applicants; no technical AI background is required. FORMAT: weekly in-person sessions at FAI's Capitol Hill office (usually Fridays 12:00-13:30 or Tuesdays 18:30-20:30), about 2-3 hours a week, plus a required weekend retreat in February. WHAT YOU GET: a USD 1,500 stipend for eligible fellows (subject to ethics rules for government employees), with meals and retreat costs covered. APPLICATION: online form linked from the FAI fellowships page. DEADLINE: 30 October 2026.
First edition of an international call for artists under 35 working with artificial intelligence, digital languages and emerging technologies, run by 360° Creativity Events APS for PARMA 360 Festival and Parma European Youth Capital 2027. It follows the 2026 pilot exhibition SYNTHETIC HORIZONS (curated by Chiara Canali). The call focuses on open-source and closed-source image and video generation tools and their creative, social and cultural impact. THEMES: Parma Heritage (crafts, traditions, archives, immersive storytelling of the city); La Cura / Care (wellbeing, accessibility, AI ethics, health tech, public space); Sustainability and Data Ecology (energy and water cost of AI, data extraction and digital colonialism, waste of digital images, ethics of automated production). ACCEPTED FORMATS: digital and synthetic images, NFTs, printed digital photography, digital/3D-printed sculpture, video, audio, interactive browser or chatbot installations, software art, VR, AR, sound art, performance and hybrids. Works must already be completed but need not be unpublished. One application per artist. REQUIRED: an Artist Statement (max 1,500 characters) on how you use AI, naming software, models and workflow; missing statements are excluded. SELECTION: a jury of the PARMA 360 artistic direction, the Parma EYC27 committee and AI/new-tech experts picks 20 finalists (at least 3 from the Parma area), announced from 1 December 2026; finalists show in a group exhibition curated by Chiara Canali in Parma in April-May 2027. The organiser covers shipping to the show and AV equipment hire and gives finalists one hotel night at the opening; return shipping and travel are at the artist's cost. Prize-winning works are acquired in full or in part. AGE: must not have turned 35 by the closing date. DEADLINE: 31 October 2026, midnight Rome time, via the Google Form linked in the call. Questions: aihorizonscall@gmail.com.
Umbrella request for proposals for ambitious AI-first projects that make the transition to capable AI go well and use it to unlock science. Three connected layers, each with its own detailed call: I. Local Compute (compute that individuals or communities physically own and control); II. Coordination and Accountability (supercollaboration and decentralized alignment, human empowerment, AI insurance and open governance); III. AI-First Science: Bio, Neuro, Nano (automated nanotechnology, whole-brain emulation, replacement, enhancement, biostasis). AI-first means AI is the primary engine of progress, not tapped onto an existing research program; strong proposals identify narrow bottlenecks and propose something that can be built, tested or measured. Selected projects receive grant funding, private local compute, workspace at the San Francisco or Berlin AI Nodes, travel-paid field-building events and access to Foresight's advisors and scientific network. ELIGIBILITY: individuals, teams, and nonprofit or for-profit organisations worldwide (for-profits must justify their need for grant funding); applicants who want to be active in-person contributors at the Nodes are strongly prioritised. Grants typically $30,000 to $100,000, smaller for the Human Empowerment and AI Insurance & Open Governance areas and higher for the rest. Review takes about three months after the deadline. Deadline 31 October 2026, 23:59 PDT.
The MATS Residency, announced in August 2026 as a new track alongside the seasonal MATS fellowship, funds 6 to 24 months of high-independence AI safety research for experienced researchers, whether already in AI safety or moving in from adjacent fields. COMPENSATION: USD 155,000 to 285,000 per year gross depending on location, seniority and experience, plus insurance, retirement plan, PTO (17 days US / 20 days UK), conference funding, catered meals, and up to USD 25,000 in relocation support. ELIGIBILITY: at least one substantial piece of research-caliber work; credentials are not required. Full-time (part-time case by case for academics on sabbatical), in person at MATS offices in Berkeley, London, or Washington DC, with visa support where required. TIMELINE: the Winter 2027 intake window runs 25 August to 31 October 2026 (AoE), with decisions by end of November and interviews plus a paid work test in the first week of December; three intake windows per year.
The AI Philosophy Competition, organised by philosophers Zachary Goodsell and Elliott Thornley and funded by Forethought Research, aims to gauge the philosophical capabilities of AI in a way transparent to the philosophical community. Entrants submit up to three original essays on any philosophical topic; essays must be primarily AI-generated, with some human guidance allowed, and each entry must include a methodology report explaining how the essay was produced. Essays are capped at 6,000 words each and may not be previously published or under review elsewhere; entrants consent to online publication and may choose anonymity. Judging is blind to methodology and authorship and evaluates the quality and originality of the philosophical content (style is not graded); the judging committee includes David Chalmers, John Hawthorne, Herman Cappelen, Cian Dorr and other academic philosophers. PRIZES: USD 3,000 / 2,000 / 1,000 for the top three essays, plus a USD 5,000 creative methodology pool. Finalists announced early December 2026, results end of January 2027. DEADLINE: 31 October 2026.
A bias bounty from Zindi, Humane Intelligence, Radiant Earth, and the Heising-Simons Foundation: measure coverage gaps in Overture Maps across US Census tracts by comparing it against Census TIGER/Line Roads, Microsoft US Building Footprints, USGS National Map critical facilities, and Census County Business Patterns. Submissions are automatically evaluated with a Bias Score assessing equity metrics across demographic and climate-vulnerability strata, surfacing whose neighbourhoods open map data underserves. PRIZES: 1st USD 4,500, 2nd USD 2,500, 3rd USD 1,500, Best Bias Discovery USD 1,000, Best Documentation USD 500 (USD 10,000 total), plus 10,000 Zindi points. ELIGIBILITY: open to all, teams of up to 4. HOW TO ENTER: create a Zindi account, download the sample submission files, compute coverage-gap scores per tract GEOID, and upload a CSV; 10 submissions per day, 300 total. Free to enter. DEADLINE: 31 October 2026.
Track I of Foresight Institute's AI for Science & Safety Nodes RFP funds building and scaling local compute setups that individuals or communities physically own and control. With five companies holding 71 percent of the world's AI compute, researchers relying on APIs and rented compute face data exposure, steep price increases and the risk of losing access altogether; open models are ready for serious science and safety work, but the ecosystem lacks sovereign and secure compute infrastructure. LOOKING FOR: local compute clusters in different sizes and configurations that are easy to set up and run across varied connectivity and electricity environments; blueprints for easy yet secure cluster management; models for bringing down cost, like selling idle compute or connecting to community clusters; ideally a business case for building, selling and distributing such clusters at scale. EXAMPLE DELIVERABLES: a prototype AI cluster an average person can deploy at home, software that runs a node without expert knowledge, economic models showing how the hardware pays for itself, a pilot deployment for individuals or communities. Selected projects receive grant funding, private local compute, workspace at the San Francisco or Berlin AI Nodes, travel-paid field-building events and access to Foresight's advisors and network; in-person contributors at the Nodes are strongly prioritised. Individuals, teams, and nonprofit or for-profit organisations worldwide may apply (for-profits must justify their need for grant funding). Deadline 31 October 2026, 23:59 PDT.
Track II of Foresight Institute's AI for Science & Safety Nodes RFP funds ways for increasingly capable AI systems to coordinate with each other, the people using them, and the wider world, without handing power to a single model, lab or government. THREE FOCUS AREAS: (1) Supercollaboration and decentralized alignment: coordination and credit-assignment protocols, tooling for massive human-AI collectives, incentive designs robust to gaming, mutual monitoring and cross-checking among agents, scalable verification, and open coordination protocols built on boundaries as Schelling points for multi-agent coordination. (2) Human Empowerment: evidence, decision rules and working tools for when human control genuinely empowers people versus when AI delegation is preferable, including a 'when to defer control' framework and mechanisms to detect and fix hollow oversight. (3) AI Insurance and Open Governance: building a middle layer between lab self-governance and government regulation, such as ways for insurers to judge and price frontier-lab risk, independent incident reporting and assessment that does not leak lab secrets, and mechanisms like developer mutuals, catastrophe bonds or liability for near-misses. Selected projects receive grant funding, private local compute, workspace at the San Francisco or Berlin AI Nodes, travel-paid field-building events and access to Foresight's advisors and network; in-person contributors at the Nodes are strongly prioritised. Individuals, teams, and nonprofit or for-profit organisations worldwide may apply (for-profits must justify their need for grant funding). Deadline 31 October 2026, 23:59 PDT.
Track III of Foresight Institute's AI for Science & Safety Nodes RFP funds AI-first science in bio, neuro and nano: work that asks what important science is stuck, what it is actually stuck on, and whether we can build the thing that removes that constraint. THREE FOCUS AREAS: (1) Automated nanotechnology: AI methods for nanoscale design, simulation and assembly, closed-loop fabrication and characterization tools, credible application pathways from toy problems to medicine, environment and bottom-up production, and defensive applications and safety frameworks. (2) Whole-brain emulation: cheaper and faster brain mapping and preservation, bringing down the cost of connectomics through better imaging or cheaper proofreading, lo-fi emulation pathways that predict organism behavior from behavioral and neural data, and shorter experimental feedback loops in neurobiology. (3) Replacement, Enhancement, Biostasis: longevity work including tissue engineering, organ synthesis, 3D bioprinting and progressive replacement strategies; reversible biostasis for organs and full humans with improved preservation and revival protocols and organ banking; and datasets for independently testing genetic predictors, gene editing and better measures of aging. Selected projects receive grant funding, private local compute, workspace at the San Francisco or Berlin AI Nodes, travel-paid field-building events and access to Foresight's advisors and network; in-person contributors at the Nodes are strongly prioritised. Individuals, teams, and nonprofit or for-profit organisations worldwide may apply (for-profits must justify their need for grant funding). Deadline 31 October 2026, 23:59 PDT.
First visiting-fellow cohort of the newly launched KU Leuven AI Safety Lab, a multidisciplinary research group on large-scale risks of advanced AI (independent research, policy workshops, a summer school and an annual conference). Five fellows spend March to May 2027 in Leuven under two programmes: Theories of Victory and Viable Endgames (positive AI futures and the conditions for beneficial advanced AI outcomes) and Democratic Control over AI Companies (power concentration and mechanisms for societal oversight of frontier AI developers); strong AI safety proposals outside these two areas are also considered. ELIGIBILITY: PhD candidates, postdoctoral researchers, faculty and researchers outside academia, from any relevant discipline; applications from underrepresented groups encouraged. APPLICATION: email a CV (max 2 pages including publications), a one-page cover letter and a research plan (max 1,500 words) to existentialrisk@kuleuven.be with subject line 'Fellowship application' plus the programme name. Deadline 31 October 2026.
Foresight Institute's AI for Science and Safety Nodes request for proposals funds open, AI-first projects across three calls: I. Local Compute (compute that individuals and communities physically own and control), II. Coordination and Accountability (supercollaboration and decentralised alignment, human empowerment, and AI insurance and open governance: multi-agent oversight and verification, tools for collective deliberation, decision rules for when human control adds value, and independent risk assessment or insurance mechanisms for frontier labs), and III. AI-first Science (automated nanotechnology, whole-brain emulation, frontier bio). Grantees can also get workspace in the San Francisco or Berlin AI Nodes (a community xNode runs in Cape Town) and private compute. All funded code, data and outputs must be open-sourced. Projects are judged on fit with the focus area, impact on reducing existential risk from AI, feasibility within 1 to 3 years, AI-first working methods, ability to execute, and high-risk, high-reward potential. ELIGIBILITY: individuals, teams and organisations worldwide; nonprofits and for-profits welcome (for-profits must justify the need for grant funding). Priority goes to applicants who want to work in person at one of the Nodes, but it is not required. Review takes about three months; applications can opt in to sharing with Lightcone Commons. DEADLINE: 31 October 2026, 23:59 PDT.
The AAAS Science & Technology Policy Fellowships place scientists and engineers inside US federal agencies, congressional offices and the judicial branch for a year of hands-on policymaking, contributing technical knowledge and analytical skills to the federal policy process. AI, data and computing policy placements are among the largest tracks, and AAAS runs a dedicated AI legislative branch cohort that places AI experts in congressional offices at GS-12 Step 10 on the DC locality scale. ELIGIBILITY: US citizens holding a PhD or equivalent doctoral degree in any science or engineering field, or a master's degree in engineering plus three years of post-degree professional experience; some tracks accept a bachelor's plus five years. Relevant expertise includes AI, machine learning, computer science, robotics and data science. Fellows must reside in DC, Maryland or northern Virginia during the fellowship year. TIMELINE: the application portal opens 1 August 2026 and closes 1 November 2026 at 11:59pm ET, with eligibility notification in late November, interview notification January to February 2027, semi-finalist interviews in March, placement offers by early May, and the fellowship year running 1 September 2027 to 31 August 2028. Apply through fellowshipapp.aaas.org.
The Processing Foundation's 2027 fellowship cycle supports artists, educators and creative technologists working on open-source projects, with a USD 10,000 stipend over an 8-month fellowship period. THREE TRACKS: Collective Intelligence (remote, US-based), co-designing AI education tools with youth, aimed at educators with software development or AI/ML experience; Gaming the System (hybrid, Los Angeles), building an open-source toolkit for video game design with underserved communities, for game makers and creative coders based in LA; and DIY Computing (hybrid, New York City), developing open-source hardware and software environments for custom computers, for early-career hardware artists in NYC (applicants currently enrolled in degree programs are ineligible for this track). ELIGIBILITY: US applicants only; hybrid tracks require residency in LA or NYC respectively. International applicants are pointed to the Foundation's Microgrants and Processing Community Day instead. APPLICATION: via nomination form, selecting one track; self-nominations are allowed. Selection by a panel of the Processing Foundation team and external reviewers, judging strength of the project, fit with the Foundation's mission and potential impact. TIMELINE: nominations open 7 October 2026, close 1 November 2026 at 11:59 PM PST; fellows notified 14 December 2026; fellowship runs 25 January to 26 September 2027.
Fully funded, full-time, in-person research fellowship in London for anyone 18 or over committed to ensuring AI develops safely. Fellows work on a project with an established mentor, with weekly 1-on-1s, dedicated research-management support and co-working at LISA. Past projects span AI governance, technical AI safety and technical AI governance. Among this round's projects, Risto Uuk and a co-mentor are supervising a fellow on EU AI governance, looking for someone curious and motivated with experience or interest in policy or law. Other mentors include Patrick Levermore, Alexandra Abbas, Caspar Kaiser, Cecilia Elena Tilli, Connor Dunlop, Daniel Tan and Dave Banerjee; the full list is on the fellowship page.
A three-month residency for AI safety generalists: builders, operators and organizers rather than researchers. Residents pitch, build and ship their own projects with weekly advice from field leaders, then get support landing a full-time AI safety role. ELIGIBILITY: open worldwide to early- and mid-career people from operations, communications, policy, engineering, computer science and similar fields; the main criteria are a track record of execution and a genuine commitment to AI safety. TIMELINE: applications close end of day 1 November 2026 (Anywhere on Earth); international applicants are strongly encouraged to apply by 26 October for visa time. Work tests by 9 November, interviews mid-November, decisions by 25 November. Free-response answers must be written without AI assistance.
The ARC Prize Foundation runs its 2026 competition for progress toward artificial general intelligence, with a USD 2,000,000 total prize pool across three tracks: the main Kaggle competition on the ARC-AGI-2 static reasoning benchmark, a track on ARC-AGI-3 interactive agent reasoning (second milestone 30 September 2026), and a paper prize for research that advances understanding of ARC-AGI performance. Milestone prizes run USD 25,000 / 10,000 / 2,500. Open to individuals and teams worldwide, entirely online via Kaggle. Winning entries must be open-sourced under permissive licenses to collect prizes. Main submission deadline 2 November 2026, paper track 8 November 2026; results announced 4 December 2026.
BRAID, the UKRI AHRC-funded Responsible AI programme at the University of Edinburgh, is commissioning around seven creative works that treat Responsible AI as a question of relationships, commitments and obligations rather than a technical checklist or a set of rules, under the title A Promise in Return. WHO: UK-based creative practitioners in any medium: artists, designers, musicians and performers, architects and urban designers, craftspeople and artisans, writers and poets. Full-time undergraduate and taught postgraduate students are not eligible; PhD students may apply if registered as self-employed freelancers. WHAT YOU GET: a commission budget of GBP 8,000 to 12,000, production support from Inspace and the Institute for Design Informatics, and presentation during the Edinburgh Art Festival in August 2027 with the Edinburgh Futures Institute. APPLICATION: online form (written or an eight-minute video application) plus a single PDF of portfolio, CV and budget emailed to braid@ed.ac.uk; late submissions are not accepted. DEADLINE: Monday 2 November 2026 at 17:00 GMT.
GAIN SSA (Global AI Youth Network, Sub-Saharan Africa) runs the AI Safety Essentials Fellowship for residents of Africa considering how they can be effective contributors in shaping the continent's transition toward containing risks from transformative AI. Fellows spend six weeks mapping the priorities and gaps that need to be filled in Africa's AI safety ecosystem, through curated pre-reading and a live group call each week (about 5 hours per week). CURRICULUM: existential risks and catastrophic vectors; frontier AI models and Africa; defining safe and beneficial AI; subfields and alignment architectures; Africa's AI safety landscape and policy; and a capstone week on fellowships and career launch, with guidance toward international pipelines such as MATS, ERA, BlueDot and GovAI. Mentorship comes from international AI safety researchers, governance fellows and peer builders. FUNDING: after the program, top capstone action-plan proposals are funded from a USD 500 to 1,000 micro-grant pool (capped at USD 1,000), including proposals needing compute, travel to AI alignment conferences in Sub-Saharan Africa, or communication work (for example Substack Pro for writers); results are shared within 10 days of receiving a proposal. The main aim is to have participants take action to build Africa's first AI safety systems. APPLICATION: expression of interest for the inaugural cohort via the Google Form linked from the program page. DEADLINE: expressions of interest close 8 November 2026.
Bellingcat, the open source investigations collective, is hiring a contractor AI engineer to build agentic systems that support its investigators. (Listed on Grant Desk as an exception to the no-jobs rule: a remote, paid, public-interest AI contract.) THE ROLE: build, test, deploy and monitor multi-agent workflows for open source investigations; develop agentic pipelines with human oversight, feedback loops and evaluation metrics; architect and maintain cloud infrastructure for hosting LLM harnesses and monitoring agents using token-as-a-service providers; develop MCP servers and data bridges connecting agents to open source research tools and databases; and create evaluation frameworks for the performance and reasoning of agentic pipelines. WHAT YOU GET: an annual fee of USD 80,000 to 93,000 for full-time work (part-time 20 hours/week also possible), on an initial 12-month contract, working remotely with some flexibility to work from other countries for a limited number of weeks per year. ELIGIBILITY: hands-on full-stack development experience including infrastructure maintenance and server-side data workflows; experience with agentic AI workflows and open-source harnesses; experience with human-in-the-loop design (approval checks, feedback loops); a collaborative record of working with non-technical colleagues on public interest technology; English proficiency; and a time zone overlapping with Europe. Experience with mission-driven organisations or open source / public interest tech is a plus. APPLICATION: via Google Form; Bellingcat asks that applications not be AI-generated (AI for grammar checks is fine). Review is rolling from 21 October and interviews may start before the close. DEADLINE: 8 November 2026.
Realities in Transition (RiT2), a Creative Europe XR cooperation project, and Beta Festival in Ireland invite artists, technologists, storytellers, engineers, hackers and designers to develop XR, interactive, multi-user work that explores technology through relationships between human, artificial and more-than-human intelligence, with a focus on decolonial thinking and interdependence. Three artists are selected, each paired with a creative technologist and working as a group. WHAT YOU GET: a EUR 15,000 grant per artist for a six-month hybrid residency from March to August 2027, with an in-person period at Beta in May to June 2027, a Test Lab in June 2027 and a showcase at Beta Festival in November 2027. APPLICATION: online form linked from the call page; see the RiT residencies page for eligibility. DEADLINE: 10 November 2026, 23:59 CEST.
The NYC track of Eyebeam's AGENCY residency cycle supports New York City-based artists exploring questions of agency at a moment when AI systems increasingly act, decide and carry out tasks on our behalf: how to preserve human agency as these systems shape human behavior, how to assert agency in imagining and building the societies we inhabit, and what agency becomes when understood as collective, relational, entangled and more-than-human. Projects might engage AI directly but do not have to; critical and creative approaches to power, autonomy, technological systems, collective action, human and nonhuman relationships, and the social and material structures of agency are all welcome, including reimagining AI through collective governance, repair, rehearsal or mischief, and repurposing AI systems toward new tools, methods and models for the public good. Residents receive a USD 5,000 stipend, mentorship, and access to tools and technical expertise through Eyebeam's network. ELIGIBILITY: individuals only (no collectives this cycle); not enrolled in a full-time degree program; not committed to another residency during the term; must live in New York City within the five boroughs and be able to work on site at Eyebeam at least one day a week for the full term. TIMELINE: deadline Sunday 15 November 2026, 11:59 PM ET; interviews 7-10 December; notifications 14 December; residency 15 March to 11 June 2027. Info session Monday 19 October 2026, 1 PM ET. Apply via Submittable, free.
Molly Crockett's lab at Princeton, based in the Department of Psychology and the University Center for Human Values, is hiring a postdoc to start in summer or fall 2027. The research topic is flexible. The lab uses methods from computational social science and cognitive science informed by theory from science and technology studies and feminist epistemology, studying feedback loops between individual psychology, institutions and culture, and how the tech industry co-opts these processes to concentrate power. It is especially interested in bridging quantitative and qualitative methods for understanding human experience, and in how culture and power shape which questions are valued and which methods are legitimised. The lab is industry-independent and accepts no research funding from the tech industry; it uses a variety of ML methods and aims to develop thoughtful approaches to automation in scholarship, so it suits researchers excited about AI in science but wary of hype and industry influence. WHAT YOU GET: an USD 80,000 salary from stable institutional funds, initial one-year appointment renewable up to three years. APPLICATION: via Interfolio; questions about fit to mj.crockett@princeton.edu. Review of applications begins 20 November 2026 and continues until the position is filled.
The Mozilla Foundation Incubator's next cohort funds seven Human-Scale AI projects: working AI technologies that are small (small models, less compute, able to run locally or on low-power devices), intentional (users and communities get insight into and control over their data, and systems can be configured, forked or community-governed) and tailored (fit-for-purpose for a specific community, context or problem, with particular interest in resource-constrained regions, people with disabilities and other underserved groups). Projects must already be deployed with the people they serve, even at pilot scale, and show early product-community fit. Not wanted: concepts without working technology, standalone governance or policy work, generic chatbots, or products whose core depends on a frontier model or a slimmed-down version of one. The cohort runs for 12 months from April 2027 with coaching, a Mozilla programme officer, network access and a showcase at the Mozilla Festival; required sessions are about one or two hour-long virtual meetings a month, and teams must work in the open. ELIGIBILITY: worldwide; you do not need to be a nonprofit but the project must have a charitable purpose and you must be legally able to receive Mozilla Foundation grant funds. Applications in English (translation tools welcome). Multi-stage process: an initial project proposal, then a full application for a shortlist. Info session 12 November 2026, 17:00 UTC. DEADLINE: Friday 20 November 2026, 11:59PM PST (UTC-8).
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.
CISAC's 2027-2028 fellowship application is open across seven tracks: Artificial Intelligence and Laws of Armed Conflict; AI in Strategic Stability and Military Competition; Geopolitics of Artificial Intelligence; India-U.S. Security Studies; Natural Sciences or Engineering International Security (for natural scientists and engineers researching scientific and technical aspects of security topics); Nuclear Security; and International Security. Applicants are considered for all fellowships they are eligible for. Fellows spend the academic year in residence at Stanford engaged in research and writing, participating in seminars and collaborating with CISAC faculty and the wider community. CAREER STAGES: predoctoral (currently enrolled PhD students), postdoctoral (completed PhD or DPhil), and junior faculty or professionals. FUNDING: stipends are provided (predoctoral comparable to Stanford Graduate Fellowships plus tuition; postdoctoral and professional stipends commensurate with experience), though exact amounts are not published; non-US citizens may apply and visas are available through the fellowship. APPLY via the SlideRoom portal (Stanford CISAC Fellowship Program) with the application form, CV, graduate transcript (required for pre- and postdoctoral applicants), research prospectus (max 1,500 words), abstract (max 200 words), writing sample (max 50 pages), and three confidential recommendation letters uploaded directly by recommenders; all materials in English. DEADLINE: 2 December 2026. Questions: cisacfellowship@stanford.edu.
The Omidyar Network Tech Journalism Fund offers rolling grants of $5,000-$25,000 for technology journalism projects. Relevant for journalists and media organizations investigating AI, tech policy, and AI's impacts on culture, society, and creative industries. Applications are accepted on a rolling basis through December 31, 2026 — one of the few currently open opportunities with a confirmed near-term deadline. Apply via the application form on omidyar.com.
The MEDIA strand's Innovative Tools and Business Models call (CREA-MEDIA-2027-INNOVBUSMOD) funds tools and business models that strengthen the competitiveness of the European audiovisual and video games industries. WHAT IT FUNDS: tools for subtitling, accessibility, discoverability and recommendation; automated rights management and data analytics; business models linking festivals, cinemas and VOD; new modes of production, financing or distribution using AI, big data, blockchain, virtual worlds or NFTs; and greening the audiovisual and video games industry. WHO: a single organisation or a consortium of two or more, established in a MEDIA country; individuals cannot apply. WHAT YOU GET: grants at an 80 percent funding rate from a total budget of EUR 14,000,000. APPLICATION: via the EU Funding and Tenders portal. DEADLINE: 14 January 2027, 17:00 CET (Brussels).
HIIG's Impact AI Fellowship invites people interested in measuring the effects of AI on society and the environment to assess an existing, operational AI application and take lead authorship of a published case report. Applicants do not need their own case; HIIG helps match fellows with cases, and proposed cases must be deployed applications rather than prototypes or research ideas. WHO: holders of a master's degree; field experience is an advantage but an academic track record is not required. FORMAT: ten weeks from 16 August to 22 October 2027, with mandatory in-person weeks in Berlin (16-20 August and 4-8 October 2027), an independent research phase that can be done remotely, regular online check-ins, and a mandatory online preparatory session on 11 May 2027. WHAT YOU GET: a fixed EUR 5,000 stipend and case-by-case partial support for in-person costs; health insurance, visa and meals are the fellow's responsibility. APPLICATION: online form with one combined file (CV up to 4 pages, motivation letter up to 2 pages, optional project description up to 2 pages). Info sessions on 10 November 2026 (10:00) and 17 November 2026 (15:00). DEADLINE: 15 January 2027.
The Institute for Law & AI's US Summer Fellowship is a paid research fellowship at the leading edge of US AI law and policy for law students, professionals, and academics, including the Summer Institute on Law and AI in Washington DC and mentorship from LawAI research staff. FUNDING: USD 2,000 per week, a USD 10,000 relocation/housing stipend for DC-based fellows, covered flights, accommodation and meals for the Convening Week, and potentially higher subsidies for exceptional candidates. ELIGIBILITY: a strong grasp of US legal principles applicable to AI regulation via formal US legal study (incoming 1L and up) or comparable professional experience; full-time commitment 14 June to 20 August 2027; valid US work authorization required (visa sponsorship possible but not guaranteed). The application takes about 20 minutes. DEADLINE: 29 January 2027, 11:59PM ET.
The New Media Film Festival in Los Angeles champions stories told with new technology and was among the first festivals to screen AI-generated content; it has a dedicated AR / MR / AI / TECH category. Open worldwide in all formats. Deadlines: 6 December 2026 (USD 80), 6 February 2027 (USD 85), final 6 April 2027 (USD 95).
The Creative Innovation Lab (call CREA-CROSS-2027-INNOVLAB) funds innovative tools, models and solutions applicable across the audiovisual and other cultural and creative sectors. Every project must involve the audiovisual sector (video games included) plus at least one of music, books or museums. The 2027 call is explicitly aligned with the EU Apply AI Strategy, including AI for content discoverability, and covers virtual worlds, AI-, data- and blockchain-based business tools (rights management, monetisation, data analytics) and greener practices. WHO: a single organisation or a consortium of two or more, established in a Creative Europe country; individuals cannot apply. WHAT YOU GET: an actual-cost grant at an 80 percent funding rate from a total budget of EUR 7,183,502, with financial support to third parties of up to EUR 60,000 each allowed. APPLICATION: via the EU Funding and Tenders portal. DEADLINE: 22 April 2027, 17:00 CET (Brussels).
Robot foundation models (pi-zero, OpenVLA, GR00T and others) are approaching widespread deployment on the back of more than USD 18 billion in funding, and almost nobody is working on their safety. The Physical AI Safety Institute, a new nonprofit founded by Bear Haon and Kaylene Stocking and seeded by a grant from BlueDot Impact, describes itself as a capacity-building organisation growing the community that develops techniques to interpret, align and control robot foundation models. Its research fellowship runs in 12-week cohorts: each fellow works within a stream led by a mentor on a concrete problem in physical AI safety, with mentors drawn from researchers with track records in robot foundation models, mechanistic interpretability, safe control or adversarial robustness for embodied systems. Each cohort ends with a research symposium where fellows present their work. STREAMS: mechanistic interpretability (sparse autoencoders and activation patching for VLA and WAM architectures); adversarial robustness (jailbreaking and prompt injection in the embodied action space); runtime monitoring (detecting when a policy operates outside its competence envelope); sim-to-real safety transfer (do safety behaviours survive deployment on physical hardware); and robot security (cyberattack vectors, data poisoning and supply chain for deployed robot models). WHO SHOULD APPLY: researchers with strong technical foundations in robotics or machine learning and a demonstrated interest in safety; prior safety experience is not required. PROCESS: this stage is an expression of interest, not a full application. The form takes about two minutes and asks you to pick your stream and preferred cohort dates; concrete details including stipend figures and application deadlines are shared through that channel, and neither is published on the site as of listing. PAISI also publishes seven free curriculum modules running from classical robot safety through VLA interpretability, adversarial robustness and runtime monitoring to deployment evaluation, plus a white paper, The Case for Physical AI Safety, at paisi.ai/the-case-for-physical-ai-safety. Contact: bear@paisi.ai.
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.
Manifund's regranting program funds AI safety and global-catastrophic-risk work through a network of expert regrantors, each given an independent budget to recommend grants to people and projects they find promising. Applicants submit a project proposal on the Manifund platform; regrantors can then offer funding. GRANTS: typically USD 5,000 to 50,000, though amounts vary. ELIGIBILITY: individuals (no legal entity or institutional affiliation required) and organizations working on AI safety or reducing catastrophic risk from AI. Applications are accepted on a rolling basis; per-regrantor budget availability varies over time. Learn more at the regranting page and apply on the Manifund platform (manifund.org).
The CHAI Research Fellowship trains highly qualified postdoctoral researchers to advance beneficial AI, working with CHAI faculty Stuart Russell, Pieter Abbeel and Anca Dragan and collaborating with affiliate faculty at Berkeley AI Research and beyond. Fellows have broad freedom to pursue novel research toward provably beneficial AI systems in areas such as reasoning, decision making, learning, multi-agent systems and philosophical foundations, using probability theory, game theory and control theory. Current topics of interest include theoretical foundations of intelligent agent architecture, expressive formal languages for probability models (including probabilistic programming), decision making over long time scales, cumulative lifelong learning, human-in-the-loop planning and reinforcement learning, human-robot interaction, the structure of human preferences, acting on behalf of multiple humans, robust cooperation in heterogeneous multi-agent systems, and mechanism design for human-machine systems. Fellows may also lead collaborations, advise junior researchers, and teach. QUALIFICATIONS: a PhD (or about to be obtained) in a relevant technical discipline (computer science, statistics, mathematics, or theoretical economics) and a record of high-quality published research; prior work on the AI control problem is not required. International applicants are eligible (visa sponsorship provided). TO APPLY: submit via the CHAI application form a resume, a one-page statement of interest describing the research you would like to undertake, and the names and emails of two academic referees. Start date is flexible and applications are reviewed on a rolling basis (no fixed deadline). General enquiries: chai-info@berkeley.edu.
Rolling grant programme funding individuals at any career stage who want to pursue careers that could help reduce global catastrophic risks or otherwise improve the long-term future. Especially interested in candidates working on risks from future advances in AI and global catastrophic biological risks. Funds graduate study (master's/PhD/MPP/law school), unpaid internships, postdocs, professional certifications, online courses, independent study/upskilling, career-transition and exploration periods, and academic sabbaticals. Concrete examples Coefficient Giving lists: a senior ML engineer doing six months of independent study to investigate AI risk mitigation careers; a physics PhD doing self-guided ML interpretability work to transition into technical AI safety; a management consultant exploring how to apply their skill set to GCR; a tenured ML/CS professor taking a one-year sabbatical to contribute to AI safety or governance. Open globally; no institutional affiliation required. Looks for candidates whose funding would 'make a difference' (otherwise unable to find sufficient funding, or existing funding has restrictions). Encourages applications from women and people of color. Now subsumes the former Biosecurity Scholarship. Applications are open until further notice and assessed on a rolling basis. Free to apply.
Supports journalists producing long-form investigative reports and tech-policy researchers conducting research, analysis or evaluation that informs policy related to the Kapor Foundation's three priority areas, with an emphasis on responsible AI and tech ethics. Priority areas: CS/AI Education, Innovation, Governance. Aims to dismantle systemic inequities in the tech sector by funding researchers and investigative journalists exploring barriers and driving actionable solutions. Applications accepted on a rolling basis; first awards to be announced by 30 June 2026.
Funds data-driven reporting that uses ML, NLP, satellite imagery, sensors and other computational methods on under-reported issues. Open to freelance and staff data journalists worldwide. Reviewed first-come, first-served on a rolling basis; decisions usually within a month.
Lightweight rolling grant for individual journalists worldwide (writers, photographers, radio, film; freelance or staff) examining how AI systems are designed, sold and deployed in communities. Faster turnaround than the Pulitzer AI Accountability Fellowship: decisions in 1 to 2 weeks.
Commissioned long-form writing at the intersection of design, technology, art and culture. Editorial themes: designing with AI as cultural and infrastructural system; responsive and adaptive materials; politics of platforms and creative-infrastructure governance; post-digital hybrid making; designing for collapse and continuity; creative research as practice. In-depth pieces only, no press releases or promotional copy.
The microagi Research Fellowship (Cohort 01) provides researchers with frontier-lab resources and the freedom to work on hard problems in robotics, embodied AI, and the systems around them. Fellows work in residence for six months at microagi's offices in Munich or Zurich. AMOUNT: up to $2,000,000 in compute; $10,000/month stipend. RESEARCH AREAS: (1) Long Horizon Dexterous Manipulation -- end-to-end models for complex multi-stage tasks with dexterous hands, natural language instruction following, memory across long task sequences, fine-grained physical control in unstructured environments; (2) Cross Embodiment Learning; (3) On Device Physical Intelligence; (4) Safe and Reliable Deployment. microagi's model is to deploy embodied intelligence into physical-world operations and turn what it learns there into compounding research. REFERRAL: $10,000 bonus for referring a candidate who is accepted into the cohort. No application deadline publicly stated as of June 2026 -- one cohort only, apply as soon as possible via https://www.microagi.ai/fellowship.
Luminos.AI, an embedded AI-governance and legal-risk infrastructure company (built by former Fortune 500 AI governance leads and company-builders), runs a part-time fellowship for a technically inclined law student or recent graduate who wants to work at the frontier of AI agent oversight and risk evaluation. Fellows work directly with senior lawyers and engineers on the practical problem of how to test, evaluate and govern generative and agentic AI systems that change every quarter. WHAT YOU DO: research and help design rigorous testing and evaluation approaches for generative and agentic AI, translating fast-moving legal and regulatory requirements into concrete, testable standards; track the global AI regulatory landscape in real time and turn it into practical guardrails; draft frameworks, workflows and risk assessments that hold up under real deployment conditions; and partner closely with the technical team, where comfort around code, models or data is an asset. Fellows with technical skills who want to spend part of their time working directly with engineering are encouraged to do so. WHO YOU ARE: currently pursuing a JD (or a recent graduate) from a top law program; an excellent researcher and writer comfortable applying existing law to genuinely new situations; genuinely enthusiastic about AI and willing to learn the technical details. Bonus: coding ability, ML/GenAI exposure, or a background in privacy, security or data governance law. TERMS: USD 35 per hour, remote, part-time, flexible 3 to 6 month term, with direct mentorship from senior legal and technical leadership. TO APPLY: send a cover letter, resume, transcript and writing sample to careers@luminos.ai with the subject line 'Application for Luminos.AI Fall 2026 Fellowship'. Rolling review with remote interviews.
Rest of World is in the third year of its Labor x Tech program, underwritten by the Ford Foundation, commissioning reported stories on the changing nature of work at a moment of upheaval: AI tools and robotics reshaping professions at every rung of society, from self-driving cars replacing drivers to humanoid robots working alongside nurses; lay-offs across the tech industry; and the gig work model continuing to reshape traditional employment. The programme's premise is that this moment needs documenting now, in stories that help prepare society for what comes next. WHAT THEY COMMISSION: reported stories of 800 to 1,000 words from around the world on this beat, at a fee of USD 1,000 per story. WHAT THEY ARE LOOKING FOR, based on previous years: how new technology is transforming existing industries in unique ways and creating unexpected new pockets of employment; how technology is leading to significant job gain, job loss, and government responses to those trends; whether large demographic shifts are following the adoption of new technology or the arrival of new industries; how workplace technology is changing workplace dynamics; how new industries and tools are changing workers' incomes; and the expansion of the gig work model alongside the threats of automation. EXAMPLES of the kind of story they hope to commission, all previously published by Rest of World: workers in Chinese data factories teaching humanoid robots boring tasks; entry-level tech workers describing the AI-fuelled jobpocalypse; Microsoft and Google claiming their data centres create thousands of jobs while their permit filings say otherwise; AI helping judges close cases quickly and lawyers open them quickly; tech workers fuelling a mini baby boom in Taiwan's Silicon Valley; Dubai's robotaxi ambitions coming for human drivers; and the job brokers who run the lives of the migrant workers staffing Taiwan's chip plants. ELIGIBILITY NOTE: the programme is unable to commission reporting in India or from writers based in India for this series. HOW TO PITCH: send 2 to 3 paragraphs laying out the nutgraf of the proposal and explaining how the pitch fits the editorial mission of the programme. Indicate what sources will be used, whether any pre-reporting has been completed, what reporting has already been done on the topic at other outlets, and what the story contributes to the discourse. Pitches go to laborxtech@restofworld.org. Pitching is open on a rolling basis; no closing date is stated.
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.
BlueDot Impact runs a rolling micro-grants program for people working on concrete AI safety projects where money is the bottleneck. Grants of up to USD 10,000 (more negotiable on request) cover compute and API credits, events and meetups, research access, travel, community chapters and project tooling. The process is deliberately fast: average reply within a day, and nine in ten applicants hear back within a week, with funds typically wired upfront rather than reimbursed. Open to anyone worldwide working on a concrete AI safety project; BlueDot course alumni and active members of the AI safety and biosecurity communities are prioritized. Rolling applications, no deadline.
The Center on Long-Term Risk makes rolling grants for research that reduces long-term risks and suffering risks (s-risks) from transformative AI, including AI safety, macrostrategy, cooperative AI and decision theory work. Recipients may be individuals, charitable organizations or academic institutions; funded formats include independent research, academic scholarships and tuition, teaching buyouts and career development for promising researchers. Grant sizes vary widely, from around USD 1,300 to historical grants over USD 250,000, and decisions are made by a simple majority of the three fund managers with external experts consulted as needed. The fund is flexible on project type if it believes you can do high-quality work relevant to s-risks now or in the future. Rolling applications via the online form.
The Institute for Progress pays authors to develop short pitches (200-400 words) into full published project plans for preparing the world for advanced AI, across three areas: accelerating science, strengthening security, and adapting institutions. Authors of selected proposals receive a USD 10,000 honorarium once the full plan is published, plus IFP advisory support, funder matchmaking and help recruiting project leads; USD 1,000 bounties go to successful referrals and published new ideas. Applicants who want to build their own proposal are welcome. Rolling submissions with no deadline; early submissions are prioritized.
Halcyon Futures makes fast grants to exceptional people founding new organizations in AI safety and alignment, biosecurity, cybersecurity and AI governance/policy. Nonprofit seed grants run up to USD 1,000,000 to get new projects off the ground, and career transition grants up to USD 500,000 support leaders at career inflection points searching out their next big project; the org states it often wires money within days. Grantees also get mentorship, introductions and founder community events. (Halcyon also runs a separate venture capital arm; the grant tracks are non-dilutive.) Rolling; contact via the Request for Founders link or hello@halcyonfutures.org.
NOTE: this tier is institutions-only; individual researchers cannot apply in a personal capacity but can serve as principal investigators through their institution. Anthropic's earlier Economic Futures Research Awards (USD 10,000-50,000 plus USD 5,000 Claude API credits for empirical research on AI's economic impacts, rolling, with results presented within six months) are currently not accepting applications; this entry covers the larger Research Fund now open for proposals. THE FUND: Anthropic has committed USD 200 million to the Economic Futures Research Fund to support ambitious external research on interventions that prepare society for the economic impacts of AI, studying what programs could make the economy more flexible and resilient, ensure AI's benefits are shared, and minimise harm from AI-driven disruption. FIVE RESEARCH PRIORITIES: (1) AI's impact on workers at the firm and workplace level; (2) equipping people for AI-driven transitions; (3) modernising income support for displacement; (4) building worker stakes in AI-driven growth; (5) generating evidence on public investments. FUNDING: projects primarily in the USD 5-30 million range, minimum USD 1 million, flexible upward for well-scoped, high-potential-impact projects. ELIGIBILITY: accredited universities and other degree-granting institutions, independent research institutes and policy research organisations, and nonprofits with a track record of running field experiments at scale; a global fund with an initially US-centric focus. APPLICATION: via the request for proposals linked from the research agenda announcement (Google Form); no deadline published as of September 2026.
Fellowship grants for a defined period of full-time work transitioning into AI safety or biosecurity: research, policy or technical output, building evidence, testing an uncertain career path, closing a skill gap, or moving into a role. Grantees also get structured advising, introductions and a peer community. BlueDot has taken over Coefficient Giving's former career development and transition funding. ELIGIBILITY: ready to work full-time on the transition (not alongside a job); evidence of recent relevant action (strong analogous work counts); a plausible plan with milestones and a theory of change linked to reducing catastrophic risk from advanced AI or biological threats. No prior BlueDot course needed. Master's and PhD programmes are generally not funded. PROCESS: a roughly 45-minute form, then routing, evidence review, interview and decision; grantees send weekly updates and a short end-of-grant report.
EA Funds closed the Long-Term Future Fund and launched the Transformative AI Fund in its place. It makes early-stage, fast grants for work on transformative AI, mainly reducing global catastrophic risks from advanced AI: training, field-building, technical research, policy analysis, forecasting, advocacy and demonstration projects, with a smaller share for other implications such as flourishing futures and digital sentience. Biosecurity and nuclear work are funded only where they intersect with AI. ELIGIBILITY: individuals, new organisations, and existing organisations starting a new project; not geographically restricted. Always open to applications via the EA Funds form.
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.