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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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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