10 agent-based-modelling PhD positions at Delft University of Technology (TU Delft) in Netherlands
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop these machine learning-based proxies together with a
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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this PhD project, you will explore novel working principles for soft robotic systems based on compliant shell mechanisms. You will design and fabricate robotic structures that integrate embedded actuation
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations
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enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination of ‘off-the-shelf’ tools based on both sequence and structure. These enzymes will be
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from data-driven strategies discovered by employing AI techniques. You will derive techniques to determine what long-term strategies AI-based controllers pursue, connect their short-term actions to long
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are in accordance with the Collective Labour Agreement for Dutch Universities , increasing from Promovendus gross per month, from the first year to the fourth year based on a fulltime contract (38 hours
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traverse their cargo. A mechanistic understanding of this puzzling selectivity has remained lacking. The recent discovery of IDP-based pores in peroxisomes that are similarly selective but with a drastically