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. The position is particularly suitable for candidates with strong skills in applied mathematics, control, physics, or electrical engineering, and an interest in dynamic systems and modelling. Experience in system
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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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class sessions, assisting teachers in class sessions and laborations, assisting teachers at seminars and marking exams in Quality Management and Engineering courses. Work may also include lighter forms
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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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suitability. The workplace You will work at the Organic Nanoelectronics group within the Laboratory of Organic Electronics (LOE), at the Department of Science and Technology, Campus Norrköping. LOE is an
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, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You should be clear in your
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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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to take responsibility for your own work, while enjoying collaboration. Good command of English, both spoken and written, is a requirement. Since the position includes extensive fieldwork in varying
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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. Experience collaborating with technical experts and multi-stakeholder environments. Experience with version control systems such as Git, and reproducible ways-of-working (for example Jupyter notebooks