Residency, Frontier AI Security in Cambridge

Building talent for an ERA of AI safety & Governance research. A 10-week, fully funded fellowship at Cambridge, UK for researchers and entrepreneurs working on mitigating risks from frontier AI.

Duration and Dates: July 6 – September 11, 2026

Location: The fellowship is held in Cambridge, UK for 10 weeks starting in July 2026.

Support: Competitive stipend. Meals during working hours. Transport, visa and lodging covered for the duration of the fellowship.

Our Fellows: We welcome talented individuals from around the world at any career stage, who are motivated to contribute to AI safety and governance research. The Programme Fellows work on a research project, with mentorship provided by our network of expert mentors. We typically host 30+ events over the fellowship in Cambridge.

Topics:

• Technical AI Safety: New technologies present new opportunities for good; however, they are often also associated with novel risks. Advanced AI agents more intelligent than ourselves present new challenges: How can we be sure to maintain control of the trajectory of the future as we continue to hand over decision‑making to these systems? Technical AI safety research aims to ensure that advanced AI systems are rigorously designed and built with appropriate safeguards to avoid harmful or unpredictable behaviour.
• Governance: As frontier AI systems become more capable, effective governance is essential to reducing risks from frontier AI models. ERA supports research that advances international cooperation, strengthens regulatory tools in key jurisdictions, and promotes responsible corporate governance. We are also interested in addressing emerging challenges such as governing autonomous AI agents and developing more robust cybersecurity strategies to mitigate the risk of model weight exfiltration.
• Technical AI Governance: The development of AI is fundamentally a sociotechnical challenge: we need to align both the systems themselves and the societal contexts in which they are developed and deployed. This poses complex challenges at the intersection of technology and governance. Many of the key levers for shaping the trajectory of AI progress are inherently technical, and thus require deep engagement with the architectures, algorithms, and interfaces through which AI systems are designed, deployed, and controlled. Technical AI governance seeks to leverage this technical substrate of AI to support governance objectives by empowering relevant actors to make well‑informed and proactive decisions to steer AI development in positive directions.

Why ERA? We care about both pursuing technical and governance research to mitigate the risks posed by advanced AI systems. We hope to address the complex challenges that arise from increasingly capable AI, including averting the uncontrolled emergence of artificial general intelligence, preserving human agency during increasing deployment of frontier AI models, and establishing policy safeguards on the research, development and deployment of frontier AI. During the fellowship, you will build your research portfolio through weekly mentorship, daily conversations with other fellows, dedicated research management support and compute resources. You will also cultivate lasting connections with other fellows, full‑time researchers, and the AI safety community in Cambridge.