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Field
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
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algorithms on demand from modular building blocks, guided by textual task descriptions and engineer preferences. The goal is to create a “LLM-AutoML” framework that produces tailored multi-objective
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tailored multi-objective evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in
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designing and implementing control strategies for multi-axis manipulators, including the development of force-feedback systems and custom gripper end-effectors for reliably handling complex, flexible objects
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with a strong track record in scientific exploration who is excited about our research. You should have: An MSc or equivalent degree in Neuroscience, Psychology, Data Science, or a related field. A keen
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research
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, and curriculum features on academic success. Another PhD-project aims to establish how academic literacy evolves in Dutch and English tracks, and how curricula can support this development. Each PhD
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. What you bring We are looking for a candidate with a strong track record in scientific exploration who is excited about our research. You should have: An MSc or equivalent degree in Neuroscience
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research