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Engineering Science is granted to those who have completed course requirements of at least 60 higher education credits at an advanced level in a field relevant to the doctoral subject. The applicant must also be able
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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 The research area for the position is complex networks and multi-agent
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conditions, a driving license (corresponding to the Swedish class B) is necessary. Qualifications adding merit value if documented or verified in other ways include: - experience and interest in technology and
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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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of complex systems in engineering and medicine. Your research will bridge this gap, and it will be carried out in collaboration with Professor Anders Rantzer at the Department of Automatic Control at Lund
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to collaborate effectively with others. Your workplace You will be based in the Division for Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University. The Division
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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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another way. Specific eligibility for doctoral education in Biomedical Engineering Science is granted to those who have completed course requirements of at least 60 higher education credits at an advanced
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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