1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Cooperative AI PhD Fellows Program (2026 Cohort) is sponsored by Cooperative AI Foundation.
Get alerted about grants like this
Save a search for “Cooperative AI Foundation” or related topics and get emailed when new opportunities appear.
Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Cooperative AI PhD Fellowship 2026 The Cooperative AI PhD Fellowship is designed to provide future and current PhD students in the field of cooperative AI financial support to achieve their full potential.
Deadline: 16 November 2025 (23:59 AoE) Deadline: 14 October 2024 23:59 (Anywhere on Earth) The Cooperative AI PhD Fellowship is designed to provide future and current PhD students in the field of cooperative AI financial support to achieve their full potential. We provide a speedy review process and ask for a light-weight application from your side.
We are looking for early-stage career researchers, who are enrolled or are about to be enrolled in a PhD programme at an accredited university (anywhere in the world), with a specific interest in multi-agent/cooperation problems involving AI systems. Your research proposal should aim to contribute to societally beneficial AI development.
The Cooperative AI Foundation is committed to the growth of a diverse and inclusive research community, and we especially welcome applications from underrepresented backgrounds. This is the second iteration of the scholarship, and we're still refining how we can best provide value to PhD students. If you apply now, you can help us and future generations of students.
This round of PhD fellowships is designed for students who are currently enrolled in a PhD programme or aiming to start in 2026.
All selected fellows will receive: A yearly conference budget to meet your conference and other relevant travel needs (e.g., to workshops and talks); A yearly compute budget (matched to the needs of your research work) and early access to the latest models (where this can be arranged); Invitations and travel funding to relevant CAIF’s events, including some that are private and/or aimed at senior researchers; Opportunities to collaborate with CAIF’s researchers, advisors, and other organisations in our network, and to be involved in special projects.
In addition, a number of exceptional candidates will receive a scholarship with our maximum funding of up to $40,000 per year to cover living expenses. If you already receive a stipend for your living expenses, we provide top-up funding up to this amount. Fellows’ benefits and scholarships have a maximum duration of three years, and are conditional on your continued work in cooperative AI.
Applications will be reviewed by CAIF staff as well as external researchers, where required, in two stages: screening and full review. In a small number of cases, we may invite you to a brief call. We aim to communicate final decisions by the end of January 2026.
We are committed to fostering a culture of inclusion, and we encourage individuals with diverse backgrounds and experiences to apply, particularly from underrepresented groups. If you have specific needs or circumstances that require accommodation, please contact us . Our primary criterion is the potential to conduct impactful, high-quality research in cooperative AI (related to both technical and governance aspects).
As evidence of this potential, we evaluate applications on the strength of your research proposal as well as your experience and existing skill set. Research proposals should: Be focused on multi-agent/cooperation problems involving AI systems; Be such that the results could be relevant for the most advanced AI systems, including future systems; Aim to contribute in a major way to societally beneficial AI development.
You can see more information about this in the FAQ section. As with our regular grantmaking, the following criteria will be central in our evaluation of your research proposal: Impact: If your research is successfully executed, how important would the results be from a societal perspective? Could this be among the most influential work in the field of Cooperative AI right now?
Tractability/feasibility : Is your research likely to be successfully executed? Have you identified a tractable (set of) problem(s), and do you have the ability to carry it out (please consider identifying any skills you might need to develop during your studies)? Neglectedness : If your research were not to go ahead, how likely is it that very similar work would happen soon anyway?
Risk : Is there a risk that your research might have harmful consequences, such as contributing to the development of more dangerous systems? Can you mitigate such risks? What are the eligibility requirements?
- Applicants can be from any region. - Applicants can apply to undertake their PhD at any department at an accredited university, as long as their research focuses on cooperative AI. - Applicants with existing funding from other organisations can apply (see the question on “top-up” funding below).
- Applicants can apply before or after they are accepted to a PhD program, but scholarship awards are conditional on the applicant enrolling in a program in order to undertake the research outlined in their proposal. What happens if I am accepted? We will need confirmation of your university enrolment and current living bursary (or lack of this) from your university.
As a part of the due diligence process, we will contact your current/future university to verify the information you have provided. The successful candidates will be contacted and announced in January 2026. What if my research topic changes during my PhD?
We understand that it is natural for PhD students' research plans to evolve during their programs. CAIF will continue to renew your scholarship annually for a maximum of 3 years, as long as your research focus remains on cooperative AI, even if it does not exactly match your original research proposal. What do you mean by "multi-agent/cooperation problems"?
We fund research that is focused on addressing multi-agent/cooperation problems involving AI. Typically, multi-agent problems include multiple artificial agents, or multiple human agents and at least one artificial agent. A few important things to note on this topic are: - We believe that the most important cooperation failures occur when agents have different objectives.
This means that we are significantly less likely to view work in the fully cooperative setting as scoring highly on impact, in terms of CAIF’s mission; - We will generally not consider work on aligning one artificial agent to one principal (a human), even if that problem technically does consist of two agents; - Please note that cooperative AI does not necessarily include work on helping humans cooperate to build AI – in short, our focus is on "AI for cooperation", not "cooperation for AI".
Can you give examples of research topics that you consider to be in scope? Yes! Please see the “Research Areas” part in our Research Grants page for examples of topics that we consider to be in scope.
This list is not exhaustive, and if you want to work on a different topic falling under “multi-agent/cooperation problems”, you should not be put off from applying. Do you have examples of the kind of technical or methodological approaches you encourage? Yes, you can look at the “Technical and Methodological Guidelines” section in our Research Grants page for examples.
What do you mean by "societally beneficial"? Advanced AI is likely to transform society in many ways. We are focused on ensuring that the large-scale consequences for humanity are beneficial.
In practice, this means that we are especially excited about work that has a clear path to positive impact at a very large scale (see examples below), rather than narrower applications (such as coordination between autonomous vehicles, for example).
For example, this could include work on AI tools for collective decision-making that could demonstrably scale to vast populations, allowing deeper democratic engagement and consensus building, or technical research on how to avoid the most severe kinds of conflict involving AI systems (which are increasingly being used in high-stakes military situations).
How do you assess if my research will be relevant for the most advanced AI systems, including future systems? We cannot know for sure which work will be most relevant to AI systems that do not yet exist, but there are some things that can make work less likely to be relevant for future systems. This would for example be if your research depends a lot on properties of existing systems that we expect to change in subsequent generations.
An example of something that would be less relevant here are theoretical analyses that make very restrictive assumptions and are unlikely to generalise, such that they're unlikely to tell us anything about real-world advanced AI systems. Can I apply if I have already started my PhD? Do you provide funding for tuition fees?
Do I need to be nominated by my university to apply for the fellowship? No, we do not have a nomination scheme. Please apply by yourself and provide two reference letters.
Where should my referees submit their reference letters? Your referees should submit their reference letters through this link . What does “top-up funding” mean?
Why do you offer this? By top-up funding, we mean that even if you are already receiving a living stipend, you can still receive funding from the Cooperative AI PhD Fellowship which would take your funding up to $40,000. For example, if you have a living stipend of $25,000, this scholarship would provide you with $15,000.
We do this rather than provide every applicant with an identical lump sum to maximise the benefit of the programme in an equitable way. Applicants with a stipend or other scholarships totalling over $40,000 can still apply to benefit from the other support we provide. Will I receive feedback on my application?
For applications that are rejected in screening we will have limited ability to give feedback, but we might, for example, indicate if we think the proposal was out of scope. For applications that are rejected after going through our full review process we will attempt to provide at least a couple of sentences of feedback or reason for rejection. Our capacity to do this will depend on how many applications we receive.
Who will see my application? Your application will be reviewed by CAIF staff as well as external researchers, where required. We do not share the identity of any reviewers with applicants.
If you have any specific confidentiality concerns around your application there is a specific field in the application forms where you can let us know about this. Can I apply if I am not enrolled in a PhD programme yet? Yes, but you will receive your funding only when you are enrolled in a programme.
The topic must be the same as the one you stated on your application. I have a question that isn't answered here. How can I contact you?
You can reach out to us at fellowships@cooperativeai. org . Thank you!
Your submission has been received! Oops! Something went wrong while submitting the form.
Foundation Events Blog Resources Blog Contact © Cooperative AI Foundation 2025 The Cooperative AI Foundation is registered with the Charity Commission for England and Wales under charity number 1201294, and incorporated as a company limited by guarantee established in England for charitable purposes only under company number 13485176. Its registered address is Courtenay House, Pynes Hill, Exeter, EX2 5AZ.
Key questions and narrative sections extracted from the solicitation.
Two-page research proposal
Short application questions (via Airtable form)
Two reference letters
CV
According to the current listing, eligibility includes: PhD students worldwide studying cooperative AI; open to California-based researchers. Confirm the full requirements in the official notice before applying.
The current listing shows up to $40,000/year top-up + full fellowship benefits. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Cooperative AI PhD Fellows Program (2026 Cohort) is funded by Cooperative AI Foundation. Verify program details on the funder's official page before applying.
This opportunity targets applicants in California. If your organization operates elsewhere, check the official notice for location requirements.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Multi-Agent Safety Research Funding Call is sponsored by Google DeepMind, Schmidt Sciences, Cooperative AI Foundation, Advanced Research and Invention Agency, Google.org. A technical research funding call for researchers worldwide, focusing on the study of how large-scale multi-agent AI systems behave as a group, and how to provide frameworks to understand and mitigate potential risks.
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.