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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems
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GENESIS – Generative AI Agents for Software Engineering: Skills, Integration, and Satisfaction. The project is a multi-year collaboration with Ericsson and Axis Communications, aiming to investigate and
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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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disciplines, namely Mathematics, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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Initiative’s mission, potentially including studies on political dimensions of risk frameworks, economic subsystem coupling, and multi-level agent interactions. The successful candidate will participate in
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University of Arizona working in the area of reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence. We invite qualified candidates to join our group and participate in
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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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mechanisms for grid-edge device federations participating in local and national flexibility markets. This will bring together research on power systems modelling, multi-agent control, machine learning and