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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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year. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs. This project
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for lifelong multi-robot operation, using state-of-the-art parametrisations of stabilising controllers, data-driven control and multi-agent reinforcement learning. The postholder will also provide guidance
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of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge