MATS Research is currently accepting applications for its AI Safety Research Fellowship 2026. Interested applicants are encouraged to click here to learn more about this opportunity and apply for it.
About MATS Research
The MATS Biosecurity Track supports research at the intersection of advanced AI and catastrophic biological risk. We are launching this track because the threat model has shifted: biological foundation models, LLMs with growing wet-lab uplift, and AI-accelerated design tools are compressing timelines on capabilities the existing biosecurity stack was not built to absorb. We want fellows pursuing technical work that has a realistic chance of meaningfully shifting outcomes within the next 6–12 months.
Benefits of MATS Research
Selected fellows receive:
- Funding support
- Access to compute resources
- Housing and meals
- Research management support
- Mentorship from leading AI researchers
- Access to a highly driven global research community
MATS Research Requirements
- MATS accepts applicants from diverse academic and professional backgrounds - from machine learning, mathematics, and computer science to policy, economics, physics, cognitive science, biology, and public health, as well as founders, operators, and field-builders without traditional research backgrounds. The primary requirements are strong motivation to contribute to AI safety and evidence of technical aptitude, research potential, or relevant operational experience. Prior AI safety experience is helpful but not required.
Application Date and Process
- General application: Submit track-specific short response questions.
- Centralized review: Some streams depending on empirical ML skills will require a standardized test of ML skills. Other streams requiring more specific backgrounds will skip to the next step without centralized review.
- Stream applications & follow-up: Apply to individual streams; follow-up includes interviews or additional assessments depending on the stream.
Opportunity Application
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