MATS Research Fellowship: A Deep Dive into AI Alignment and Security
The field of artificial intelligence is advancing at an unprecedented pace, bringing with it both incredible potential and significant challenges. As AI systems become more powerful, ensuring they are developed and used safely and ethically is paramount. The MATS Research Fellowship is a fully funded program designed to cultivate the next generation of experts dedicated to AI alignment, security, and reducing frontier AI risks. This intensive program offers a unique opportunity for aspiring researchers to immerse themselves in critical AI safety work, supported by leading organizations and substantial resources.
Program Overview
The MATS Research Fellowship is a rigorous 10 to 12-week in-person program that brings together promising fellows and world-renowned AI researchers. Hosted in key global research hubs like Berkeley, USA, and London, UK, the fellowship provides an environment where participants can focus entirely on their research. This immersive experience is made possible by comprehensive financial and logistical support, removing common barriers for early-career researchers. The program aims to equip participants with the skills and knowledge needed to contribute meaningfully to making advanced AI systems safe, transparent, and beneficial for humanity.
Key Program Details
The fellowship is structured to provide a focused and productive research experience.
- Locations: Berkeley, USA, or London, UK.
- Duration: 10 to 12 weeks.
- Start Date: September 28, 2026.
- Application Deadline: June 7, 2026.
Participants receive a generous funding package that includes:
- A stipend of $12,500 to cover living expenses.
- A substantial $20,000 compute budget for research needs.
- Complimentary housing.
- Provided meals.
- Coverage of travel costs.
- Support for J-1 visas, if necessary.
Research Tracks Available
The fellowship offers a diverse range of research tracks, allowing fellows to align their work with their specific interests and expertise. Applicants can apply to one or multiple tracks.
- Empirical Research: Focuses on conducting experiments and analyzing data to understand AI behavior and safety properties.
- Theoretical Research: Involves developing mathematical frameworks and models to understand AI capabilities and limitations.
- Strategy and Forecasting: Explores long-term planning and prediction related to AI development and its societal impact.
- Policy and Governance: Examines the creation of regulations and frameworks to guide AI development and deployment.
- Systems Security: Addresses the technical aspects of securing AI systems against misuse and failure.
- Field-building and Founding: Concentrates on developing the AI safety community and supporting new initiatives.
- Biosecurity: Investigates the intersection of AI and biological safety, including potential risks and mitigation strategies.
Each track is designed to tackle different facets of AI safety, from the technical underpinnings to the broader societal implications.
Mentorship and Research Environment
A cornerstone of the MATS Research Fellowship is its robust mentorship model. Fellows are paired with experienced researchers from leading AI laboratories and safety organizations. These mentors provide invaluable guidance throughout the program.
Mentors offer:
- Direct support in shaping research projects.
- Feedback on technical and conceptual approaches.
- Assistance in developing research ideas for publication and wider impact.
This close collaboration with experts allows fellows to accelerate their research skills and contribute to significant AI safety challenges.
Fellowship Benefits
The program is designed to allow fellows to dedicate their full attention to research by providing a comprehensive support system.
Financial and Material Support
Fellows receive financial and material assistance to ensure their comfort and productivity. This includes a $12,500 stipend, a $20,000 compute allocation, free accommodation, free meals, and reimbursement for travel expenses.
Academic and Professional Growth
The fellowship offers unparalleled opportunities for professional development. Participants collaborate with top AI researchers, gain access to cutting-edge AI safety problems, and have the chance to publish their research. They also gain exposure to leading AI labs and institutions, which can open doors to future career paths.
Community and Networking
Fellows become part of a cohort-based learning environment, fostering strong connections within the global AI safety community. They also have opportunities to network with researchers and organizations involved in AI governance and technical alignment.
Application Process
The application process is designed to identify candidates with strong technical abilities and significant research potential. It involves multiple stages.
Stage 1: General Application
This initial stage is open until June 7, 2026, and typically takes 1 to 2 hours to complete. It includes questions about the applicant’s background and specific responses related to their chosen research tracks. Applicants will also need to provide contact details for two references.
Stage 2: Central Evaluation
Candidates who successfully pass Stage 1 will proceed to standardized assessments. The nature of these assessments varies by track. For instance, the Empirical Track involves tests of research taste and technical implementation, while the Policy & Governance Track requires an analytical writing evaluation. Other tracks may move directly to Stage 3.
Stage 3: Stream Applications
In this stage, applicants rank their preferred research streams and submit tailored responses or research proposals. This may also include interviews or practical work tests, depending on the specific stream.
Final Offers
Decisions are typically finalized in late July or early August 2026. The matching process considers both the preferences of the mentors and the applicants. The program officially begins on September 28, 2026.
Impact and Outcomes
The MATS Research Fellowship has a proven track record of contributing to the AI safety ecosystem. Historically, a significant majority of alumni continue to work in AI alignment, transparency, or security fields. Their collective research output includes over 190 publications in recent years, garnering more than 12,000 citations. Graduates are well-represented in leading AI organizations and academic institutions, demonstrating the program’s effectiveness in nurturing talent.
Why This Fellowship Matters
As artificial intelligence systems grow more sophisticated, the need for dedicated safety research becomes increasingly critical. The MATS Research Fellowship directly addresses this need by developing skilled researchers in AI alignment, supporting early-career talent in high-impact areas, and strengthening the global AI safety infrastructure. It serves as a vital bridge connecting academia, industry, and policy communities, fostering collaboration and driving progress in ensuring AI’s safe development.
Frequently Asked Questions
What is the MATS Research Fellowship?
It’s a 10-12 week, fully funded program for aspiring researchers focused on making advanced AI systems safe, transparent, and beneficial.
Where is the fellowship located and when does it start?
The fellowship is hosted in Berkeley, USA, or London, UK, and begins on September 28, 2026.
What kind of financial support does the fellowship provide?
Fellows receive a $12,500 stipend, a $20,000 compute budget, free housing, meals, and travel cost coverage.
What are the different research tracks available?
Available tracks include Empirical Research, Theoretical Research, Strategy and Forecasting, Policy and Governance, Systems Security, Field-building and Founding, and Biosecurity.
