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- Delft University of Technology (TU Delft)
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to
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learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage
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digitalization of the built environment. Applicants must hold a PhD in Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial
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Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial Intelligence, Information Systems, or a closely related field by
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the lab of dr. ir. M. Peirlinck in the Department of BioMechanical Engineering at TU Delft. Our group combines nonlinear mechanics, computational modeling, experimental and clinical data, and machine
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-Doctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions