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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.
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Search similar grants →Based on current listing details, eligibility includes: Researchers and professionals from diverse backgrounds worldwide interested in AI safety research from a cooperative AI perspective. The fellowship specifically aims to include participants from underrepresented backgrounds and regions in the AI safety community. No specific degree requirement though research aptitude is expected. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Fully funded three-month research fellowship covering living expenses travel costs and research resources. Financial support covers accommodation travel to and from Cape Town South Africa and stipend for the duration of the program from January to April 2026. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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.