CBAI Fall Research Fellowship in AI Safety ‘26

The Cambridge Boston Alignment Initiative will be running our next AI Safety Research Fellowship from October 13 to December 18. This is an intensive, fully-funded, ten-week research program hosted in Cambridge, Massachusetts.

It is designed to support talented researchers aiming to advance their careers in AI safety, covering interpretability, multi-agent safety, formal verification, risk management frameworks, and other technical and governance domains. Fellows work closely with established mentors and in-house research managers, participate in weekly workshops and speaker events, and gain invaluable research experience and networking opportunities within the vibrant AI safety community at institutions like Harvard, MIT, Northeastern, Boston, and leading AI safety organizations.

Our inaugural fellowship cohort members have joined Goodfire and Redwood, established their own research group, been accepted into NeurIPS and ICLR, and shared their reports with policymakers in DC.

Please fill out this form to stay updated about our upcoming cohorts. We will be able to sponsor J-1 visas effective for the Spring cycle, which will be released later this fall.

 We host a speaker event series under the fellowship program.
Past speakers include:

  • Joe Carlsmith

    Anthropic

  • Ekdeep Singh Lubana

    Goodfire

  • Stewy Slocum

    xAI

  •  Max Nadeau

    Coefficient Giving

What We Offer

Fall 2026 Mentors

  • David Bau

    Assistant Professor, Northeastern University

  • Dan Braun

    Member of Technical Staff, Goodfire AI

  • Stephen Casper

    Assistant Professor, Harvard Kennedy School

  • Michael Chen

    AI Science Advisor, California Council on Science & Technology

  • Jay Chooi

    CEO and Co-founder, Robocurve

  • Oliver Clive-Griffin

    Member of Technical Staff, Goodfire AI

  • Shi Feng

    Principal Investigator, Praxis; Assistant Professor, GWU

  • Zach Furman

    Research Lead, Iliad

  • Samuel Gunn

    Researcher, Institute for Responsible Superintelligence (RESI)

  • Nikola Jurkovic

    Member of Technical Staff, METR

  • Adam Tauman Kalai

    CSO, Institute for Responsible Superintelligence (RESI)

  • Benno Krojer

    Postdoctoral Researcher, Northeastern University

  • Sean McGregor

    Co-Founder, AVERI; Founder, AI Incident Database

  • Dylan Hadfield-Menell

    Associate Professor, MIT

  • James Mickens

    Gordon McKay Professor of Computer Science, Harvard University

  • Michael Noetel

    Senior Researcher, MIT AI Risk Initiative

  • Hadas Orgad

    Research Fellow, Harvard University

  • Patricia Paskov

    Director of Standards, AVERI

  • Paul Riechers

    Co-founder, Simplex; Research Lead, Astera Institute

  • Alexander Saeri

    Project Director, MIT AI Risk Initiative

  • Peter Salib

    Associate Professor of Law, University of Houston; Founder and Executive Co-Director, Center for Law & AI Risk

  • Adam shai headshot

    Adam Shai

    Cofounder, Simplex; Colead, Astera

  • Jonathan Shafer

    Postdoctoral Associate, MIT; Researcher, RESI; Incoming Assistant Professor, Weizmann Institute of Science

  • Peter Slattery

    Research Scientist, MIT AI Risk Initiative

  • Hidenori Tanaka

    Group Leader, Physics of Intelligence Group at Harvard University

  • Charles Teague

    CEO, Meridian Labs

  • Kevin Wei Headshot

    Kevin Wei

    Research Scholar, GovAI

  • Gabriel Weil

    Assistant Professor, University of Houston; Non-Resident Senior Fellow, Institute for Law & AI

  • Jonathan Zittrain

    Professor of International Law, Harvard Law School

Who Should Apply?

We welcome applications from anyone deeply committed to advancing the safety and responsible governance of artificial intelligence. Ideal candidates include:

  • Undergraduate, Master's, and PhD students — and Postdocs — looking to explore or deepen their engagement in AI safety research.

  • Recent graduates who are aiming to transition into technical or governance AI safety research.

  • Individuals who are passionate about addressing the risks associated with advanced AI systems.

We think the most promising undergraduates are severely neglected in the field and can achieve great things. We will put a heavy emphasis on undergraduate candidates, as some mentors will have undergraduate quotas, and we encourage undergraduates to apply.

Eligibility: CBAI does not employ fellows, but all fellows should understand that the stipend is characterized as taxable income, so fellows should have the legal right to work in the United States. Previous fellows who are on F-1 or J-1 visas have had success using OPT and CPT for their fellowship participation. CBAI staff is not able to provide tax or legal advice to fellows. We are unable to sponsor visas for this program.

Referral: If you refer a successful fellow to us, you can get a $500 Amazon gift card! Refer fellows here!

Note: Participants must be 18 years or older to apply for this fellowship.

Application Process

Our application process consists of four steps:

 

1.

General application form

2.

15-minute interview with CBAI

3.

Mentor-specific question, test task, or code screening (if applicable)

4.

An interview with the mentor

 
 

Applications are due September 6 at 11:59 pm.

 

Our Research Tracks

For more information and your questions, please reach out to fellowships@cbai.ai.

Frequently Asked Questions