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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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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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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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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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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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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
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transition. First, interoperability is key in the energy transition, requiring further integration of existing control and optimization systems. This transition makes energy forecasting particularly critical
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carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment