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The Cooperative AI Foundation PhD Fellowship provides financial and professional support to current and prospective PhD students worldwide whose research focuses on multi-agent and cooperation problems involving AI systems.
The fellowship supports research at the intersection of AI safety cooperative game theory multi-agent reinforcement learning mechanism design and social choice theory with applications to preventing AI conflict improving AI coordination ensuring safe multi-agent deployment and developing cooperative norms for AI systems. The 2026 cohort received 240 applications representing a 35 percent increase from the inaugural 2025 cohort.
Fellows receive up to $40,000 annually for living expenses annual conference and compute budgets early access to latest AI models invitations and travel funding to CAIF events including gatherings with senior researchers from organizations like Google DeepMind Oxford and MIT. The Cooperative AI Foundation was established with a $15 million commitment from Macroscopic Ventures.
This fellowship is distinct from the IAPS AI Policy Fellowship which focuses on policy work and from general AI safety grants which fund established researchers rather than PhD students.
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Search similar grants →Based on current listing details, eligibility includes: Students currently enrolled in or aiming to start a PhD programme in 2026 worldwide. Research must focus on multi-agent or cooperation problems involving AI systems. The fellowship is open globally and supports students from diverse backgrounds and institutions. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $40,000 per year for living expenses as a full scholarship or top-up funding for up to three years. Additional annual conference and compute budgets plus early access to latest AI models. Travel funding for CAIF events including private and senior researcher gatherings. Total value up to $120,000 over three years plus in-kind benefits. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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The Cooperative AI Research Fellowship is a full-time three-month research program running from January to April 2026 in Cape Town South Africa. The fellowship brings together participants from diverse backgrounds to pursue AI safety research from a cooperative AI perspective. The program kicks off with a week-long retreat and provides mentorship from top researchers in cooperative AI from organizations such as Google DeepMind the University of Oxford and MIT. Participants receive resources for building their knowledge and network in cooperative AI with financial support covering living and travel expenses. Research topics include multi-agent cooperation problems AI coordination mechanisms cooperative game theory for AI systems preventing AI conflict through cooperative frameworks and developing norms and institutions for AI cooperation. The fellowship aims to diversify the AI safety research community by recruiting from non-traditional backgrounds and regions. This program is distinct from the Cooperative AI PhD Fellowship which provides multi-year funding for doctoral students and from the IAPS AI Policy Fellowship which focuses on policy rather than technical research.
Cooperative AI Foundation Research Grant is a program from the Cooperative AI Foundation that funds research proposals focused on understanding, evaluating, and improving cooperative capabilities in AI systems. The Foundation prioritizes research in areas including evaluating cooperation-relevant capabilities and propensities of AI systems, and developing methods for making AI systems more cooperative and beneficial in multi-agent settings. This is a call for research proposals only; educational and advocacy projects are not funded through this process. Eligible applicants are researchers focusing on cooperative AI across relevant research areas defined by the Foundation. Past grants have reached $347,424 for specific projects. Researchers are encouraged to contact the Foundation about novel areas.
Research Grants from the Cooperative AI Foundation fund original research on cooperative AI — developing AI systems and techniques that can reliably cooperate with humans and each other. The foundation prioritizes proposals in two areas: Understanding and Evaluating Cooperation-Relevant Capabilities and Propensities, and related cooperative AI research areas. Applications must correspond to at least one listed research area; educational and advocacy projects are not accepted. Formal research training and a doctoral degree strengthen proposals but are not strictly required. Awards start at GBP 10,000 with no fixed upper limit; there is no set application deadline.
The IAPS AI Policy Fellowship is a fully funded three-month program for professionals seeking to strengthen practical policy skills and contribute to impactful projects in AI governance and policy. The Summer 2026 cohort runs from June to August 2026 with options to participate in Washington DC or remotely. The program begins with a two-week in-person residency in Washington DC followed by remote or in-person work with weekly mentorship and career development support. Fellows work full-time on independent AI policy projects covering areas such as AI regulation compute governance international AI agreements AI safety policy AI workforce impacts and responsible AI deployment. The fellowship received 240 applications for the 2026 cohort representing a 35 percent increase over 2025. IAPS is a remote-first organization and legally supports fellows in many countries. This fellowship is distinct from the Vista Institute for AI Policy Fellowship which focuses specifically on AI law and from the Cooperative AI Foundation fellowships which focus on multi-agent cooperation problems.
The Pivotal Research Fellowship is a nine-week AI safety research program (June 29 to August 28, 2026) based at the London Initiative for Safe AI (LISA), with optional extensions of up to six months for strong projects. Fellows receive a GBP 6,000-8,000 stipend, GBP 2,000 housing allowance for non-London residents, London travel coverage, compute resources, and weekday meals. The program offers weekly one-on-one mentorship with established AI safety researchers, dedicated in-person workspace at LISA, research management support, workshops, and speaker sessions. The selection process involves a written application, video interview, mentor-specific work task, and personal interview. Pivotal Research reports that 70 to 90 percent of fellows who applied received extensions in recent cohorts, indicating strong support for continued research development. The fellowship accepts researchers from diverse backgrounds including ML, philosophy, policy, physics, and biology.