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researchers, postdocs, and PhD students working toward a sustainable energy future through comprehensive systems modeling and scenario evaluation. Main responsibilities Conduct high-quality research within
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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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application! We are now looking for a PhD student in Automatic Control, at the Department of Electrical Engineering (ISY). Your work assignments The research area of this position is complex networks and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in control theory and develop
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implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. This includes software-defined SoS
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, are studied and developed in this project. We will focus on continual learning in situations where several devices cooperate and learn together, i.e., distributed learning. This is a situation of great
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, and structural dynamics control. The aim of the Division is to be world-class in both teaching and research with a mixture of theoretical and applied activities. Main responsibilities Your major
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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properties of superconducting circuits, both analytically and numerically. Familiarity with open quantum systems. Background in optimal control methods. Experience with machine learning for optimization