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to revolutionise nanotechnology by combining organic chemistry and polymer science to create materials that respond and adapt to their surroundings. This PhD project focuses on Ostwald ripening, a fundamental
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the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory control synthesis methods. We invite highly motivated students with a strong background in
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space explosion involved in complex systems. The aim of this PhD project is to develop distributed supervisory controller synthesis techniques that are scalable to practical systems. Current decomposition
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Engineering » Control engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per
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models and neural control pathways (e.g., CPG-like and reflexive). Moreover, candidates will be required to develop reinforcement learning techniques to teach such neuromuscular models to execute a broad
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Vacancies PhD Opening: Reinforcement learning in human neuromusculoskeletal models for the control of human-inspired musculoskeletal robots. Key takeaways We’re seeking for motivated candidates
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characterisation (developing of testing procedures). The ultimate goal is to prototype demonstrators that are responsive in a magnetic field, with fast response and remote control. These prototypes will demonstrate
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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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used in the information technology industry. This PhD project aims to develop new protection and control systems based on virtualization methods. The PhD will work with the interplay between electrical
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Description As part of a new EU MSCA Doctoral Network ELEVATE (101227453), we are offering a PhD Position on “Modulating bursting activity in silicon neurons to control plasticity and attention”. Location