MATS Program Autumn 2026: A Deep Dive for Aspiring AI Safety Researchers

The field of Artificial Intelligence (AI) is rapidly advancing, and with it comes a growing need for experts dedicated to ensuring its safe and responsible development. For those looking to contribute to this critical area, the MATS Program offers a unique opportunity. This 10 to 12-week research fellowship is designed to train and support emerging researchers and field-builders focused on AI alignment, interpretability, governance, and security. The Autumn 2026 cohort is now accepting applications, providing a structured environment for individuals to make impactful contributions to AI safety.

What is the MATS Program?

The MATS Program is a research fellowship that aims to cultivate talent in the AI safety space. It brings together promising individuals with world-class mentors from leading AI organizations. The program provides fellows with the necessary structure, resources, and guidance to conduct impactful research. The goal is to help fellows launch long-term careers dedicated to advancing safe and reliable AI. The Autumn cohort specifically connects fellows with mentors from prominent institutions such as Anthropic, OpenAI, Google DeepMind, Redwood Research, and ARC. These collaborations focus on research and field-building efforts to mitigate risks associated with advanced AI.

Benefits for Fellows

Participants in the MATS Program receive substantial support to allow them to concentrate fully on their research. The benefits include a generous stipend of $12.5k, along with $20k for compute resources. Fellows are also provided with free housing and food, removing significant financial and logistical burdens. For those requiring it, travel expenses and J1 visas are covered, making the program accessible to international applicants. This comprehensive support system is designed to foster an environment where fellows can thrive and produce high-quality research.

Eligibility Requirements

The MATS Program welcomes applicants from a wide range of academic and professional backgrounds. While a background in machine learning, mathematics, or computer science is beneficial, the program also encourages individuals from fields like policy, economics, physics, and cognitive science. The primary requirements are a strong commitment to contributing to AI safety and demonstrated technical aptitude or research potential. Prior experience in AI safety is helpful but not mandatory, as the program is designed to train and develop emerging talent.

Application Process

Applying for the MATS Program involves several steps. Candidates will need to complete a basic profile, which may include an optional publication record. The application also requires responses to two short questions, and fellows will select their preferred research tracks. Some tracks might ask for additional short responses. It is important to note that there are no specific stream selections within the main application form. The deadline for the Autumn 2026 cohort is June 7, 2026.

Conclusion

The MATS Program Autumn 2026 presents a significant opportunity for individuals passionate about AI safety. By offering financial support, mentorship from leading experts, and a collaborative community, the program equips fellows with the tools and knowledge to contribute meaningfully to the field. If you are motivated to work on the challenges of AI alignment, interpretability, governance, or security, exploring this fellowship could be a pivotal step in your career.