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vision with technical expertise in hardware and software development. We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones. For details
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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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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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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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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Architecture & Roadmap: Define the technical vision and high-level design for ViViD-AFM V2.0, ensuring a scalable and robust system architecture. IP Strategy & Novelty Design: Drive the design process to ensure
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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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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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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and