Postdoctoral Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems in Berlin
The Center for Humans and Machines (CHM) at the Max Planck Institute for Human Development in Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from Artificial Intelligence (AI) to the way we think, learn, work, play, cooperate, and govern. Our goal is to understand how machines are shaping human society today and how they may continue to shape it in the future. The Center is comprised of an interdisciplinary, international, and diverse group of scholars and a science support team. To complement this team, we are looking to hire a Postdoctoral Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems (E13 TVöD 100%; 39 hours/week). The position is limited to 3 years and is starting no later than February 1, 2027. The position is part of the Max Planck Artificial Intelligence Network.
Under the supervision of Prof. Iyad Rahwan, your research focus may include the following areas:
- Fine-tuning of large language models on rewards derived from social interactions or collective outcomes
- Evolutionary adaptations of AI agents in social simulations
- Behavioral experiments with human-AI hybrid groups
- Advancing the theoretical understanding of human-AI co-evolution
Your work will extend the portfolio of our research, including:
- Cooperating with machines
- Machine Culture
- Ongoing work on social reinforcement learning and evolutionary optimization of social strategies
Our aim is to advance the scientific knowledge of human-AI systems by understanding how they influence humanity today, predicting human-AI co-evolution and informing the policies that shape the future of AI-infused societies.
Learn more here.
