Research Scientist, Multi-Agent Systems and Game Theory (Post-AGI Futures), DeepMind

DeepMind is seeking a Research Scientist specializing in Multi-Agent Systems and Game Theory to explore societal dynamics in a post-AGI context. The role involves conducting research using both computational and theoretical methods, collaborating with experts in social sciences, philosophy, and machine learning to assess the societal impacts of artificial general intelligence. Daily tasks include designing, formalizing, simulating, and evaluating multi-agent environments to model complex societal interactions. Candidates should hold a PhD in a relevant field such as Computer Science, Machine Learning, or Philosophy, along with at least two years of experience publishing research in prominent machine learning conferences. Preferred qualifications include experience in constructing multi-agent systems and engaging in interdisciplinary research beyond core machine learning topics. A strong understanding of AGI and its implications is essential. The position is based in London, UK, and is suited for individuals passionate about advancing AI for societal benefit while ensuring ethical considerations are prioritized.