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chemistry and/or materials chemistry, as well as in the characterization of these systems using conventional physicochemical methods. Basic knowledge or skills in electrochemistry would be appreciated
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waves and other weather extremes affecting society and the energy system. There are large knowledge gaps regarding the power production reliability under severe weather conditions and transforming energy
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. Activities and responsibilities The research group of Vincent ten Cate offers the following PhD project: Many existing multi-omics methods focus on dimension reduction or joint latent representations
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of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
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reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
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Description Do you want to develop sustainable energy storage solutions for the future? Do you want to use your curiosity, technical knowledge, and enthusiasm to contribute to the UN sustainability goals and
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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high
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three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the
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to further develop concepts in nonlinear model reduction Possible research directions include the development of nonlinear modelling and control approaches for fluid-structure interactions, material with
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
. Knowledge of Large Language Models, agentic AI, privacy-enhancing technologies, or information-flow analysis is a plus. Interest in experimental research, system implementation and rigorous evaluation. Good