Max Planck Institute for Human Development
1 week ago
Postdoctoral Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems Max Planck Institute for Human Development in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 27, 2026
Country
Germany
University
Max Planck Institute for Human Development

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About this position
📣 The Center for Humans and Machines (CHM) at the Max Planck Institute for Human Development is advertising a 3-year postdoctoral fellowship in Social Reinforcement Learning and Human-AI Hybrid Systems in Berlin, Germany.
This opportunity is aimed at researchers with a PhD in Computer Science, Cognitive Science, Applied Mathematics, Physics, or a related field. A strong background in AI, reinforcement learning, and computational social science is highlighted.
Under the supervision of Professor Iyad Rahwan, the research themes include: fine-tuning large language models using rewards from social interactions or collective outcomes; evolutionary adaptations of AI agents in social simulations; behavioral experiments with human-AI hybrid groups; and theoretical work on human-AI co-evolution.
The post is a postdoctoral opening, not a scholarship. The announcement does not mention a stipend amount or tuition coverage, but it does specify a 3-year position. The application deadline is 27 August 2026.
Interested candidates should use the application link in the post and submit their materials before the deadline.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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