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                Employer- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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                communication technology that facilitates the use of protection and control systems in the substation. In digital substations the tasks of upgrading, operating, and maintaining the large number of protection 
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                Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks 
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                communication technology that facilitates the use of protection and control systems in the substation. In digital substations the tasks of upgrading, operating, and maintaining the large number of protection 
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                , this research project will focus specifically on how multiple grid converter-interfaced assets should be controlled and coordinated in an inertia-less (or almost inertia-less) isolated power network, to ensure 
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                This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will... 
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                /SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC 
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                the field of optics. The research group conducts applied research in fields such as remote sensing, communications technology, autonomous platforms, power electronics, energy systems and advanced control 
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                Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering 
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                Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering 
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                research in fields such as remote sensing, communications technology, autonomous platforms, power electronics, energy systems and advanced control. More information on the research group can be found here