Start Date: Flexible Compensation: Negotiated Apply:Via this form
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.
Duties of position
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.
Qualifications
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.
Salary & Visa Sponsorship
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).
Application
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.
Research Collaborators
Our core research spans computer science, mathematics, control theory, robotics, statistics, formal logic, economics (including game theory), cognitive psychology, or neuroscience. We may also be interested in moral philosophy, sociology, political science, law, and other fields dealing with formal and semiformal theories of human value systems.
If you are interested in collaborating on research that aligns with our mission, please fill out this form.
NOTE: Undergraduates interested in graduate study at Berkeley in this area should apply directly to the appropriate UC Berkeley graduate program. You may mention your interest in CHAI on your application, but we are unable to review or give feedback on your application. We will be happy to discuss research and/or supervision once you have been admitted.
CHAI Internship
The application is currently closed and will reopen Fall 2025.
This internship is designed for individuals who are interested in research in human-compatible AI. Our internships require a background in machine learning, computer science, mathematics, or related fields. Existing research experience in machine learning is strongly advantageous but not required. We are interested in people who can demonstrate technical excellence and wish to transition to research in human-compatible AI. Examples include undergraduate or Master’s students in computer science or adjacent fields, PhD students/researchers, professional software or ML engineers, etc.
CHAI interns work on a research project supervised, and typically proposed, by a mentor. Most projects are primarily executed by the intern, while the mentor provides advice and guidance; these are typically published as first-author workshop papers. On occasion, a mentor may propose a more team-based project that they or other interns are also executing on; these are typically published as conference papers. In addition, interns are encouraged to participate in other activities in CHAI, such as our weekly seminars, annual workshop and team socials.
All applicants should aim to understand CHAI’s research interests before applying. See our mentor profile page for a list of mentors and their interests.
General Information
Location: In-person (at UC Berkeley) is preferred but remote is possible.
Start Date: Flexible. We typically begin internships in May 2025.
Duration: Internships are typically 12 to 16 weeks
Compensation: $5,000 per month for in-person interns. $3,500 per month for remote interns.
International Applicants: We accept international applicants
Internship Application Process Overview
The internship application process has four phases. Please note: while we will do our best to adhere to these dates, they are subject to change.
Initial Review (Phase 1)
We will examine your application based on motivation, research potential, grades, experience, programming ability, and other criteria.
We will begin reviewing applications after the application closes.
Applicants will receive a response by mid October.
Programming or Math Assessment (Phase 2)
You will be given a programming or math test.
Applicants will receive a response by early November.
Interview Rounds (Phase 3)
We typically conduct two rounds of interviews which will occur between early November to early December.
We have several mentors who are willing to take on interns. Each mentor that is interested in working with you will contact you to schedule an interview. It’s possible that you will speak to multiple mentors.
Offer (Phase 4)
Applicants will likely receive offers by mid December.
If you are given an offer by one mentor, then you will work with that mentor if you choose to take the internship.
If you are given multiple offers from different mentors, then you will get to choose which mentor you want to work with.
Typically, the internship will begin around May 2025 but the start date will ultimately depend on you and your mentor(s). You will have to coordinate with your mentor(s) on when to begin your internship.
To view our former interns’ profiles, click here. Former interns have developed essential skills and knowledge, preparing them for graduate school and industry opportunities. Take a look at what some of them bad to say about their internship experience:
Chris Cundy
I spent the summer working with some of the leading researchers in AI safety and completed a substantial research project, resulting in co-authorship on two academic papers submitted after I left. The chance to enjoy summer in California was an awesome bonus. – Chris Cundy
Beth Barnes
I thoroughly enjoyed my time at CHAI, and learnt a lot. I came away with a broad understanding of the inverse RL field, much improved coding ability, and a sense of how to approach research. Dylan was a really dedicated supervisor, giving me lots of help with all the components of research, from choosing a question to fixing bugs! –