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Intelligence, or equivalent, with excellent ('honors'-level or above) grades. You have a strong background in deep learning. Previous experience with robotics, world models, reinforcement learning
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technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a d octoral researcher
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within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one of Norway’s six national AI centres. NCEI
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI
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/chemical, mechanical, and biomedical engineering as well as robotics and controls. ETH Zurich (https://ethz.ch/en/) is a global leader in science and engineering and consistently ranks among the top
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an interdisciplinary department with focus areas in process/chemical, mechanical, and biomedical engineering as well as robotics and controls. ETH Zurich (https://ethz.ch/en/) is a global leader in
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large part of the University’s Bachelor of Science in Engineering and Master of Science in Engineering programmes in fields such as energy engineering, mechanical engineering, robotics, building
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in Engineering and Master of Science in Engineering programmes in fields such as energy engineering, mechanical engineering, robotics, building engineering, environmental engineering and industrial
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, our research in vehicle analysis and robotics supports the development of transport systems that integrate safety, energy efficiency, driving experience, artificial intelligence, and automation across