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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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degree in a discipline relevant to the PhD project (e.g., computer science, software engineering, data science, artificial intelligence, electrical engineering, information systems, or a related field); a
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for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our
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technologies for automated leakage detection and localization, analysis of complex measurements, fault-response characterization, intelligent exploration of large experimental spaces, and adaptive selection
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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decision-making, computational efficiency, generalization under changing market conditions, and safe constraint handling. The PhD candidate will develop and validate decision-support methods based on deep
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29 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Cybernetics Computer science » Programming Engineering » Biomedical
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on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra-low-power intelligent processing through event-driven
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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research