53 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Switzerland
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25 Oct 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Leading Researcher (R4
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learning, non-Hermitian systems The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to work at the intersection of computational quantum many-body physics, machine
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8 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Physics » Optics
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Research Infrastructure? No Offer Description Doctoral Positions in AI for Computational Thinking The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is
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development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
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to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
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to global scales. It furthermore offers a range of educational activities and learning journeys, including a summer school, workshops and other outreach formats, designed to equip the next generation of food
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transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Energy-Efficient Machine Learning for Wearable and Augmented Reality
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real