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A 3-year postdoc position in artificial intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems
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experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in LLMs and agentic tools (MCP, LangChain, etc), the project will design
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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both
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intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems group as part of the Hybrid Intelligence Centre, under
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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
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Multiobjective optimization approaches to enable safety by design Evaluation, for example evaluating the performance of an agent over time, evaluating it in complex multi stakeholder environments, etc
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program on Working Package 3, which focuses on a demonstrator illustrating the application of the mathematical theory of multi-agent viability in monetary economics. Designing a Model for Applying multi
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body