26 phd-studenship-in-computer-vision-and-machine-learning PhD positions at ETH Zürich
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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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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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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Computational Materials Theory (Nickelate Superconductors
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experience with CAD/FEM software Experience in one or more of the following fields is a plus: simulation frameworks (e.g. SOFA, NVIDIA IsaacLab), ROS1/2, machine learning, computer vision Excellent
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Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD student position in Glycobiology of Lymphatic Vessels The glycocalyx, a carbohydrate-rich
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Student Position in Public Economics The KOF Swiss Economic Institute at the ETH
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Environmental Chemistry of Biodegradable
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Reflection Seismology for Carbon Capture and
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, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series