Fellowships

Fellowships are one of the most common entry points into AI safety research. These programs provide mentorship, funding, community, and a structured path from "interested" to "contributing."

How to think about fellowships

Most programs are looking for a combination of technical ability, genuine interest in AI safety, and the capacity to do independent research. You don't need to be a published researcher โ€” many fellows come from adjacent fields or are early in their careers. The key is showing you've engaged seriously with the ideas and can articulate what you want to work on.

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Research Fellowships

Berkeley, CA
MATS (ML Alignment Theory Scholars)
The flagship alignment research fellowship. Scholars are matched with a mentor from a leading safety lab or research org and spend several months working on a focused alignment project. Based at Constellation in Berkeley. Highly competitive but one of the strongest signals you can have on your CV.
Flagship program Mentored research Funded ~3 months
Visit MATS →
Berkeley, CA
Astra Fellowship
A fellowship program run out of Constellation for people working on reducing existential risk from AI. Astra provides funding, community, and mentorship to help fellows develop their research agendas and build connections in the safety field.
Fellowship Funded X-risk
Visit Astra →
Cambridge, UK
ERA Fellowship
A Cambridge-based fellowship connecting researchers with the existential risk community. Fellows work on a focused research project with mentorship and access to the wider Cambridge safety ecosystem. Cohorts now run in both summer and winter.
Research X-risk Cambridge community
Visit ERA →
London, UK
LASR Labs
A London research programme where small teams work on alignment projects aimed at producing a paper. Provides structure, mentorship, and a cohort of peers โ€” one of the better ways to end up with something publishable to point at. Now runs twice a year.
Twice a year Alignment research London
Visit LASR Labs →
Remote / Various
Principles of Intelligence (formerly PIBBSS)
A research fellowship bringing perspectives from outside machine learning โ€” cognitive science, biology, physics, the social sciences โ€” to bear on alignment. The most useful option on this page if your background is not ML, and one of the few that treats that as an asset rather than a gap.
Interdisciplinary Cross-disciplinary Funded Non-ML backgrounds
Visit Principles of Intelligence →
Cambridge, UK
MARS (ML Alignment Research Society)
A Cambridge-based research program focused on ML alignment. Provides a structured environment for researchers to work on alignment problems, with regular seminars and collaboration with the broader Cambridge safety community.
ML alignment Research Cambridge
Visit MARS →
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Camps & Intensive Programs

Online
BlueDot Impact (AI Safety Fundamentals)
A free, structured course covering the landscape of AI safety โ€” from technical alignment to governance. Includes weekly readings, discussion groups, and a final project. The most common starting point for people new to the field โ€” completing it signals genuine engagement to fellowship reviewers.
Start here Free Online ~8 weeks
Visit BlueDot →
London / Various
ARENA (Alignment Research Engineer Accelerator)
A hands-on technical curriculum that takes you from ML fundamentals to alignment research engineering. Covers transformers, RLHF, interpretability, and more through structured exercises. Ideal if you have some coding experience but want to build the specific technical skills needed for alignment work.
Technical skills Curriculum-based Engineering focus
Visit ARENA →
Online
AI Safety Camp
An intensive research program that brings together aspiring alignment researchers from around the world to work on collaborative projects. Runs multiple times per year, with both in-person and remote components. One of the most accessible entry points โ€” designed specifically for people making their first contributions to safety research.
Great first step Collaborative research Multiple cohorts/year
Visit AI Safety Camp →
Online / Local Hubs
Apart Research Sprints
Short, focused research sprints (often 1-2 weeks) on specific alignment topics. Lower commitment than a full fellowship โ€” a good way to test whether alignment research is for you and to produce a concrete output you can point to in future applications.
Short sprints Low commitment Concrete output
Visit Apart Research →

Didn't get in? Keep going.

These programs are competitive and many strong candidates don't get accepted on their first try. The best thing you can do is keep building: take the AI Safety Fundamentals course, join an Apart Research sprint, write up your ideas on the Alignment Forum, and apply again next round. The field needs more people, and persistence is a signal reviewers notice.

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