CHAI Research Fellows will work with CHAI faculty members Stuart Russell, Pieter Abbeel, and Anca Dragan and will also have the opportunity to collaborate with CHAI affiliate faculty at Berkeley, other faculty members in Berkeley AI Research (where CHAI is located), and many other institutions. The Fellowship is aimed at training highly qualified postdoctoral researchers to carry out research to advance beneficial AI.
Given the broad and open-ended mandate of the Center to develop provably beneficial AI systems, the post holder will have considerable freedom to pursue novel research projects in areas such as reasoning, decision making, learning, multi-agent systems, and philosophical foundations using the tools of probability theory, game theory, control theory, etc. Topics of particular current 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 and properties of human preferences
- Foundations for acting on behalf of multiple humans
- Robust cooperation in heterogeneous multiagent systems
- Mechanism design for human-machine systems
Depending on their interests, Fellows may also lead research collaborations with other CHAI researchers and Berkeley PhD students, advise more junior student researchers, and teach courses relevant to their research. Candidates for the Fellowship are assessed based on their academic and research achievements, as well as on personal merit and leadership qualities.
Table of Content
Summary
Subscribe for Scholarship Alert!
Benefits
- The CHAI Research Fellowships provide funding for two years, renewable up to three years given satisfactory performance.
- Salary will be commensurate with qualifications and experience and based on UC Berkeley salary scales.
- The position is eligible for visa sponsorship.
- CHAI will also contribute to visa costs for Fellows and their dependents (partner and children).
Requirements
- Candidates must have (or be about to obtain) a PhD in a relevant technical discipline (computer science, statistics, mathematics, or theoretical economics) and a record of high-quality published research.
- A solid understanding of current methods in AI and statistical learning would be an advantage.
- Candidates need not have done previous work on the AI control problem.
Check also:
Fairleigh Dickinson Scholarships for International Students 2026
Application Deadline
Not SpecifiedHow To Apply
- Apply via this form.
- Supporting documents include a resume, a one-page statement of interest describing in general terms the kind of research you would like to undertake at CHAI, and the names and email addresses of two academic referees.
For more information, kindly visit CHAI Research Fellowship webpage.
