MATS Autumn 2026 — AI Safety Research Fellowship
A fully-funded 10-week AI safety research fellowship (Sep 28–Dec 4, 2026) in Berkeley or London. Fellows work with mentors from Anthropic, OpenAI, Google DeepMind, Redwood Research, and ARC. Over 80% of alumni continue into AI safety roles. New tracks: Founding & Field-Building and Biosecurity.
One of the most credentialed AI safety fellowships globally — mentors include Anthropic, DeepMind, and OpenAI researchers, and over 80% of alumni go on to full-time AI safety roles. New Founding track makes it relevant for field-builders, not just researchers.
MATS (Machine Learning Alignment & Theory Scholars) is an independent research fellowship connecting talented researchers with top mentors working on AI alignment, transparency, and security. The Autumn 2026 cohort is MATS’s first autumn run — part of a shift to three cohorts per year.
Fellowship details:
- Duration: 10 weeks, September 28 – December 4, 2026
- Locations: Berkeley, CA (USA) and London, UK (mentor-dependent)
- Cohort: Selective — hundreds of applicants per cycle
What fellows receive:
- $5,000/month stipend + $8,000/month compute budget
- Office space, housing, and meals
- J-1 visa support for Berkeley office
- Mentorship from Anthropic, OpenAI, Google DeepMind, Redwood Research, ARC, AI Futures Project, and more
- Talks, workshops, and a global alumni network
- 6–12 month funded extension for top fellows (80%+ of alumni)
Research tracks (Autumn 2026):
- Technical Alignment
- Interpretability
- Governance & Policy
- Systems Security
- Biosecurity (new)
- Founding & Field-Building (new)
Key dates:
- Application deadline: June 7, 2026 (AoE — today, final hours)
- Final offers: Late July / early August 2026
- Programme start: September 28, 2026
Apply at matsprogram.org/apply. Note: MATS accepts applicants from all countries, including the Global South.