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26th October 2025 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD position in Physics-informed Learning-based Control of systems governed by ODEs
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, the selected applicant will investigate how different electronically interfaced equipment (e.g., renewable generators, energy storage systems, compensation systems), needs to be controlled and coordinated
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-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks that combine principled reasoning with the efficiency of modern machine learning
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coordination. Previous experience in industry (energy, process industry) is an advantage. Scandinavian languages: considered a plus but not required. Specific Requirements PhD in Cybernetics, Control Engineering
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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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prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control
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control systems in the substation. In digital substations the tasks of upgrading, operating, and maintaining the large number of protection/communication devices are still complex. Therefore, to overcome
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of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. The successful applicant must comply with the guidelines that apply
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organizational challenges of this twin transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy