At a Glance
- Tasks: Conduct groundbreaking AI safety research to mitigate catastrophic risks.
- Company: Join MATS, a leader in AI safety research with a vibrant community.
- Benefits: Earn $155,000 to $285,000 plus comprehensive benefits and research support.
- Other info: Flexible hybrid working, mentorship from top experts, and strong career development opportunities.
- Why this job: Make a real impact on AI safety while pursuing your own research agenda.
- Qualifications: Open to researchers from diverse backgrounds; quality of work matters most.
The predicted salary is between 168750 - 206250 £ per year.
A home for long-horizon AI safety research that reduces catastrophic risk. The Residency is run by MATS, which has accelerated 630+ AI safety researchers who have coauthored 220+ papers with 19,000+ citations. MATS alumni have co-founded organizations such as Apollo Research, Resolution, and Theorem Labs. Residents have access to advisors from organizations including UK AISI, the Center for AI Standards and Innovation (CAISI), OpenAI, Google DeepMind, and Anthropic.
The Residency exists to advance the research that most reduces catastrophic risk from AI: keeping AI-assisted research checkable, maintaining oversight of systems that outstrip human review, building evaluations and safety cases that make safety decidable, and making agentic and multi-agent systems safe from first principles. These are foundational challenges that take years, not weeks. Propose the work you believe matters most; The MATS Residency gives you 6 to 24 months to pursue your own AI safety research agenda with a high degree of independence.
Residents receive $155,000 to $285,000 plus benefits and research compute with no preset cap. They work from a MATS office in London, Berkeley, or Washington, DC, alongside the MATS Residents and Fellows, with access to advisors from frontier AI companies, AI safety/security institutes, and the wider AI safety community.
The Residency is open to researchers from a wide range of backgrounds: we assess the quality and seriousness of your work, not the titles on your CV. Where you fall within this range will reflect your circumstances, including the cost of living at your office location, seniority, and experience.
- A dedicated budget for attending relevant conferences, workshops, and other research events
- Flexibility for hybrid working; comprehensive medical, dental, vision, and life insurance
- Retirement benefits through Roth 401(k) and Traditional 401(k) plans for US-based employees, or a pension scheme for London-based employees
- 17 days of annual paid time off for US-based employees
- 20 days of annual leave plus bank holidays for London-based employees
- Catered lunches and dinners for in-office workdays
You become part of the MATS Research community, which includes current Residents, Fellows and staff, extension participants, and a network of mentors in safety organizations.
Intakes: Up to 30 Residents per year, with three intake windows per year, and rolling start dates. The 2027 Winter intake window opens 25 August 2026 and closes 31 October 2026 (AoE, Anywhere on Earth).
Milestone progress reviews occur after each block (typically 12 weeks), providing dedicated opportunities for Residents to receive focused, calibrated input from the program’s advisors while retaining ownership of their research direction.
Compute: No preset cap; compute is provisioned against research need. Duration: 6 to 24 months, depending on track. Location: MATS offices in London, Berkeley, or Washington, DC. The Residency is hybrid, with Residents expected to be in person for at least a third of their Residency, at any of the offices.
Commitment: Full-time. Academics on sabbatical from their home institution may be considered for part-time participation on a case-by-case basis.
Visa and relocation support: Visa support where required, plus up to $25,000 in relocation support, including eligible relocation costs for a partner and dependent children.
A structured research program, with targeted input from AI safety experts. Every Resident works within a custom program built around their research, with structured milestone progress reviews. At each progress review, the MATS Residency team provides each Resident with concrete feedback that informs the support and resources needed for the next research block.
The opportunity to work alongside leading advisors. The Residency is built around researcher independence. Between milestones, Residents decide when to share their work, seek feedback, pursue new ideas, and/or develop collaborations with leading experts across the AI safety field, including UK AISI, US CAISI, OpenAI, Google DeepMind, Anthropic, and others. Advisors are a resource, not a line of oversight.
Practical support designed to remove blockers. Residents receive tailored practical support to keep their research moving, including compute, technical assistance, travel and conference funding, research management, reviewer feedback, and research governance. MATS offices also provide opportunities to attend talks, meet other researchers, and connect with the wider AI safety community.
A path to lasting impact. The Residency provides an onward path beyond the program that is tailored to each track: Bridge Residents receive career development and placement support; Anchor Residents receive substantive feedback at the 12-month milestone that guides the next 12 months of research; and Incubation Residents move through ideation, and potentially fundraising and launch.
Not every project will achieve its original goal. The Residency is built to enable Residents to take risks and pursue ambitious research even when results differ from expectations. Every Resident leaves with a body of reviewable work, 4 to 8 weeks of post-Residency support, and continued access to the MATS Research community.
The Residency is based in MATS offices in London, Berkeley, and Washington, DC. Applicants indicate their preferred office when applying, but there is no formal base office assignment. The program is hybrid, with Residents expected to spend at least a third of their Residency working in person at any of the offices.
London places Residents close to UK AISI, Google DeepMind, Anthropic's London office, Apollo Research, GovAI, Oxford, Cambridge, and the UK safety and policy ecosystem. Berkeley provides access to the Bay Area AI safety ecosystem, including Anthropic, OpenAI, Redwood Research, METR, Coefficient Giving, and the research community around Constellation, FAR Labs and UC Berkeley CHAI. Washington, DC offers proximity to the US Center for AI Standards and Innovation (CAISI), RAND CAST, Georgetown CSET, and the policy institutes and government bodies shaping US AI governance.
The Residency program is consistent across offices, with the same standards, track structure, and milestone cadence. Residents are encouraged to work in the MATS office that best supports their research through proximity to collaborators, institutions, and the surrounding ecosystem.
These projects may require more time, sustained operational and research support, and high-level input from advisors at key research decision points. This input is intended to strengthen the work while preserving the Resident’s intellectual ownership and research independence.
Some researchers are ready for AI safety roles but face constraints such as timing, geography, or hiring cycles. Others are transitioning into AI safety from adjacent fields such as ML, policy, or governance and need time to build a body of safety-relevant work. Founders may need to validate their ideas for a new research organization before seeking funding, while experienced researchers outside the traditional PhD or postdoctoral path may need an institutional home for long-horizon work.
Ultimately, we’re interested in researchers of varying backgrounds who are committed to advancing research that reduces the catastrophic risk of increasingly capable AI systems. If you are unsure whether you fit, we would rather you apply than rule yourself out.
Residency Program in London employer: Aisafety
MATS London is an exceptional employer, offering a dynamic and collaborative work culture that empowers employees to take ownership of their roles from day one. With a focus on professional growth and the flexibility of hybrid work arrangements, team members are supported in their development while contributing to meaningful AI safety research in a vibrant London setting.
StudySmarter Expert Advice🤫
We think this is how you could land Residency Program in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Aisafety, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Aisafety. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Residency Program in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Aisafety. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Aisafety. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Aisafety
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Aisafety. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Aisafety to drive research projects forward.