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472.2A for additional information. Experience with commercial power system power flow software such as Powerworld, PSS/E, or similar Demonstrates broad understanding and wide application of engineering
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Postdoc in physics-based numerical modeling, software development, and engineering analysis of engineered energy and fluid systems, ranging from geothermal power plants to fluid (e.g., water, brine, CO2, H2
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). The project focuses on the assessment of robust, accurate, and automated CFD methodologies for aerodynamic analysis of cycling performance, including workflow automation, mesh generation, simulation
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, materials science, and digital fabrication. You have a solid background in computational fluid dynamics, numerical modelling, or multiphase/coupled flow simulation, ideally applied to polymer processing
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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure
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will join the IDS group in the Power System Engineering Center (PSEC) at NLR, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. IDS works to develop and
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. Proficiency in scientific programming, data analysis, simulation, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork
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material criticality assessment, material flow analysis, and life-cycle assessment. Thereby, we evaluate environmental and techno-economic aspects. The research group values interdisciplinary
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workflows for grid modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing