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University. We value diversity in experiences and perspectives, and the division represents diverse background– engineers, natural and social scientists. In the research groups we work together to develop and
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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments You will work on a project on data driven control. In recent years
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome
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Institute of Technology, Chalmers University of Technology, and Linköping University. The center is based on the vision that the forest can provide sustainable bio-based alternatives to today’s fossil-based
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application! The Wallenberg Wood Science Center (WWSC) is a major research initiative between three leading Swedish universities: KTH Royal Institute of Technology, Chalmers University of Technology, and
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Engineering (ISY), Linköping University. The Division for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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Infrastructure Your qualifications You hold a master’s degree in computer science, computer engineering, or you have completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning