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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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assessment. Design and train reinforcement learning agents to optimize operational safety. Build and validate dynamic Bayesian network models integrating empirical and synthetic data. Conduct scenario-based
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if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong mathematical foundations. Hands
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industry. Responsibilities and qualifications Your overall focus will be to advance the development of a sustainable photochemical reduction process for PFAS mineralization using a green reducing agent. You
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will contribute to developing intelligent agent that supervises energy-efficient compute offloading over distributed edge and cloud. The application deadline is December 12, 2025, 2025 at 11.59 PM