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Field
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, and to support informed decision-making for integrated energy systems. Your tasks in detail: Analyze the impacts of future energy transition pathways on the planning and operation of European power and
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charging systems. Proficiency in MATLAB and/or Python. Experience in student supervision and teaching. Preferred: Experience in dynamic modeling and simulation of power system components. Familiarity with
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and regulatory assessment. Interest in chemical hydrogen carriers, Power-to-X, industrial energy systems, and sustainable industrial transformation Experience with quantitative methods, scientific
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regions. Efforts will include developing operations and planning models of electricity systems, power flow and transmission analysis, load forecasting, and climate impacts analysis. The postdoctoral
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will be affiliated with the Power-to-X and Storage section in the Division of Power and Energy Systems at the Department of Wind and Energy Systems. You will become part of a multidisciplinary and
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systems. · Some experience with Matlab and Matlab SimuLink or relevant real-time simulation software. · Fundamental knowledge of power electronics design or electric drivetrain technology
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biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind power. The work involves quantifying conflicts and synergies between different
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communications networks for next-generation industrial control systems, e.g., power grids. Interdisciplinary Research: This position is two- or three-year research endeavor to support postdocs whose
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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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Washington State University | 2 months ago
current (HVCD) models on power system stability Contribute to the advances of power systems optimization and stability Lead collaborations with PNNL researchers and develop proposals to support new efforts