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research aimed at enhancing the efficiency and performance of PRO systems for sustainable energy solutions. PRO process is dealing with harvesting clean energy from the salinity gradient between different
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funding. Since you will be part of the research center CLASSIQUE, which consists of researchers with different backgrounds, you are expected to participate and contribute to collaborative research
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the computational activities in a large closed-loop collaboration that includes computational, biotechnological and automation activities, requiring a solid understanding of the different areas involved in
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algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
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electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
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-capacitors, additive manufacturing, and energy technologies, in addition to the aforementioned. The department is an exciting environment, where you will be exposed to many different fields and have your
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the loop and using active learning to determine which demonstrations to collect. The candidate would work on both projects and be responsible for: Implementing AI and probabilistic ML algorithms Development
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Job Description A two-year postdoc position is available in the research group of Algorithmic Cheminformatics at the University of Southern Denmark (SDU). The position is in an exciting 6-year