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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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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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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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As part of its software suite provided to its clients, Cegid and its partners use cookies on this website to: Provide the basic functions of the website; Obtain audience insights; Allow users to use
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Spatial Economics team, which conducts research in the field of economic and social sciences on the transformation of the energy system, you will support the research staff in the following activities