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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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grids, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable operations. Your responsibilities As a PhD researcher, you will: Analyze
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. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms
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Join TU Delft and help design hydrogen-resistant steels for a sustainable energy future. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in
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of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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Temporary Job Status Not Applicable Hours Per Week 38.0 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
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? Job description If this question sparks your interest and you are motivated to pursue a PhD in circular consumption niches and the transition to circular consumption, you might be our new colleague
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will