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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. As a PhD student you will have the opportunity to contribute within one or more of these focus
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focuses on developing sustainable energy systems through heterogeneous catalysis for alternative fuel production, emission control, energy storage, and fuel cells. Our interdisciplinary team bridges
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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in computing science. Applicants who otherwise have acquired skills that are deemed equivalent are also eligible. Strong command of both written and spoken English language is a key requirement. You
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In