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characterization hardware (e.g., source meters, potentiostats, impedance analyzers) and basic signal processing, while interest in machine-learning-based process control is a plus knowledge of fibre-reinforced
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, including reinforcement learning, hierarchical models, Bayesian inference etc. More details of key responsibilities of this role, in addition to the essential and desirable job criteria, are available in
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Mechanisms for Vehicular Networks Summary of the Scholarship Objectives: The scholarship aims to design, implement, and evaluate optimization solutions for vehicular networks based on Reinforcement Learning
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even makes room for good conversations over high-quality tea. Job description As a PhD candidate, you will contribute to cutting-edge research on next-generation wireless communication and sensing
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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exposure to one or more of: machine learning, reinforcement learning, robotics/autonomous systems, information theory, or human–machine interaction will be an advantage. Inquiries. Interested candidates
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while
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results. ● Deploy the results developed in the first stage to linear value function estimation problems in reinforcement learning theory. Establish the foundations to generalize the results to non-linear
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invites applications for one vacant PhD scholarship at the Department of Marketing. Expected starting date is 1 February 2027. Based in architecturally beautiful buildings in central Copenhagen, our mission