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support informed decision-making for integrated energy systems. Your tasks in detail: Analyse the impacts of future energy transition pathways on the planning and operation of European power and gas
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neural networks, and physics-informed machine learning in power systems Set up benchmark grids and generate or process suitable simulation data for power-flow, voltage-prediction, or state-estimation
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or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components
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Your Job The increasing complexity of future power systems, driven by renewable energy integration, power electronics, and distributed energy resources, requires computational methods capable of
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numerical modelling and scientific programming in MATLAB Basic understanding of battery systems, electric vehicles, energy systems or power grids Experience with model predictive control, multi-objective
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Master’s degree in environmental, energy, industrial engineering, or a related field, with good grades Interest in energy-related, environmental, and economic issues Analytical and systems-based