187 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" "System Office" uni jobs at ETH Zurich
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researchers from all over the world work here, led by Prof. Robert Katzschmann. This is a role with reach. You represent our lab toward company leadership and funding bodies, you shape which collaborations we
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density
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quantification, from classical optimisation and Bayesian inference to physics-informed neural networks (PINNs) and other machine-learning approaches build and extend our simulation environment, with a focus on
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-learning models on resource-constrained hardware Candidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. We
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Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction
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30%, Zurich, fixed-term The Professorship for Learning Sciences and Higher Education at ETH Zurich is seeking a motivated student assistant (30%) starting in October 2026. In this role, you will
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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-time rendering. Our systems have been deployed at high-profile international events such as the World Economic Forum, Berlin Science Week, and GITEX. You can learn more about the Digital Einstein project
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60%-80%, Zurich, fixed-term The Strategy & Analytics Group in the Unit for Teaching and Learning provides the evidence behind decisions about teaching at ETH Zurich. The team runs ETH-wide projects
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methods involving molecular surface display and deep sequencing to study force-dependent behavior in protein systems. These datasets will, in turn, be used to train machine learning models capable