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information, and drive their integration into a working hand platform. Job description You will lead the design, fabrication, and characterization of compact tactile sensing modules that provide multi-axis
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numbers coincide with increasing workforce constraints. To do so, we are developing the AI for Science Instrumentation Gym, which is designed to bridge this gap by placing data-driven hypothesis generation
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100%, Zurich, fixed-term The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specializes in computer vision. The position can
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, are safe to touch, and work untethered and underwater (Science Advances, 2024 ). We recently extended these muscles to full antagonistic motion ranges (ICRA 2025 ) and to a sensorless, inherently compliant
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Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be considered
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profile. A Master's degree (or near completion), in biomedical engineering, medical engineering, medical informatics, computational neuroscience, data science, or a closely related field, with demonstrated
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. Curious? So are we. We look forward to receiving your online application including: CV A short motivation letter Further information about the Institute of Agricultural Sciences can be found on our Website
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actuators run near 1100 V, are safe to touch, and work untethered and underwater (Science Advances, 2024 ). We recently extended these muscles to full antagonistic motion ranges (ICRA 2025 ) and to a
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information about the Energy and Technology Policy Group can be found on our Website . Questions regarding the position should be directed to Prof. Tobias Schmidt, [email protected] (no applications
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100%, Zurich, fixed-term A PhD student is sought from autumn/winter 2026 for a research project at the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss