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Karlsruhe Institute of Technology | Eggenstein-Leopoldshafen, Baden-Württemberg | Germany | about 15 hours ago
This PhD project relates with ongoing research projects in the area of renewable energy powered membrane processes, in particular solar-powered electrodialysis at IAMT. The removal of inorganic
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opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen
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decisions. Develop optimization strategies to improve Electrolyzer performance, efficiency, flexibility, and economic operation under variable electricity supply and renewable-energy integration
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electronic converters for applications including renewable energy integration, energy storage, microgrids, and smart grid systems. The Research Fellow will independently undertake research activities
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-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in
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-year Postdoctoral position focused on modeling the flexibility potential of electric vehicle (EV) charging clusters and exploring their synergies with distributed renewable energy sources
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electronic converters, including solid-state transformers and advanced power-delivery architectures for data centres. The technologies developed may also support renewable energy integration, energy
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electrical engineering is currently conducted in the areas of robotics and automation, intelligent power systems and renewable energy with battery storage. The project associated with this position is
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fuels. For more information, please see the following link: https://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD in Chemistry
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://www.unsw.edu.au/engineering/our-schools/photovoltaic-and-renewable-energy-engineering Skills & Experience: A PhD or postdoc research experience in Artificial Intelligence, Machine Learning, Data Science