214 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" uni jobs in Switzerland
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Position Description The School of Basic Sciences at EPFL invites applications for a faculty position in Mathematics of Learning. The appointment will be at the Tenure Track level, with an expected
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combines flexible, location'independent part'time distance learning with an active, interdisciplinary research culture on its campus in Brig. Across five faculties ' Law, Psychology, Business & Economics
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control and machine learning, implement experimental validation with lab researchers, conduct systematic robotic evaluation and design new hardware (sensor choice and integration, robotic construction from
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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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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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-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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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 5 hours ago
, International Law. The successful applicant will supervise MINT MA theses and department MA theses and PhD dissertations, and teach four postgraduate seminars per academic year, normally two in IHP and two
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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