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are offering a fully funded PhD position in the field of Physics-informed Learning-based Control. This interdisciplinary research area bridges control theory, machine learning, and physics-based modeling
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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to contribute to foundational research at the intersection of control theory, optimization, and artificial intelligence, with potential applications in energy systems, and infrastructure networks. The successful
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important
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theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important mechanisms for substation protection using digital technologies both in
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. Very good knowledge of English, both written and spoken, is required. It will be seen as an advantage if you have some command of the Norwegian language and some knowledge and understanding
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prerequisite. Data collection will take place in Norway and the candidate must have good written and oral skills in Norwegian or another Scandinavian language. The candidate must have a good command of English