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Übersicht PhD Position in Computer Vision Applied to Natural Hazards 100%, Zurich, fixed-term Drucken The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and
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, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for three years. Job
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candidate with a strong background in robotics, computer vision, or machine learning who is passionate about developing intelligent robotic systems and translating scientific concepts into working
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory experience in imaging would be a benefit Highly
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is enthusiastic about developing algorithms and software for data-based modelling of biological systems. The position suits someone with training in computer science, scientific computing or a related
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space in immersive virtual environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome
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materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable perception of
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prevention, stroke rehabilitation, and chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI
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or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of