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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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100%, Zurich, fixed-term The Forest Resources Management Group (FORM) at ETH aims to maximize forest utilities for humans today and in the future. With this vision in mind our research is centered
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reality (XR), machine vision, and human-robot collaboration. Project background The research investigates how interactive computational tools, extended reality (XR), and robotic systems can augment human
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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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through the use of advanced 3D Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to implement physically-based garment
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tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl. endoscopic, MR-, US-guided) Surgical training
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of a dynamic and international group of researchers who share a common vision to contribute to top-level academic research in the fields of machine learning. You will have access to state-of-the-art
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for Machine Learning, Department of Computer Science HR Sachbearbeiter:in Payroll Leistungsabrechnungen (m/w/d) 80%-100%, Zürich, befristet 10.02.2026 | Vizepräsidium für