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chemistry, materials science, and soft robotics, who is comfortable in a multidisciplinary, collaborative environment. The PhD candidate needs to be highly proficient in spoken and written English and hold a
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language is English Profile Applicants should have a strong interest in doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a fully funded PhD position at ETH Zürich at the intersection of robotics, wearable sensing, signal
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multiscale characterization of materials for soft robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach
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direction, while thriving when collaborating with and supporting others. Through your prior experience, you have ideally already demonstrated: A completed PhD in robotics, mechanical engineering, mechatronics
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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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, applications, and implications across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work. We enable
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robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach and synthesize via light-based 3D-printing
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, applications, and implications across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work. We enable
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD student to work on programmable materials that access multiple distinct mechanical states for next