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across the broader TU Delft research community. Job requirements PhD in computer science, AI, machine learning, data science, network science, computational social science, or a related field. Expertise in
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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materials engineering, plastics and metals present complementary strengths and challenges. Metals offer strength, conductivity, and wear resistance while polymers enable complex geometries and lightweight
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Engineering TU Delft seeks a motivated postdoctoral researcher for a full-time, fully funded, 30-month project on Functional Electrical Stimulation (FES) shorts to improve gait after stroke. You will work
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Electrical Stimulation (FES) shorts to improve gait after stroke. You will work closely with Sint Maartenskliniek and Biomex, embedded in the multidisciplinary "Care is coming home!" program, a 5-year
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning