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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
conditions. You will use experimental results to validate models and create a digital twin for real-time operational optimisation. Based on your findings, you will establish a design and optimisation framework
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demonstrated for the first time at industrial scale. While the ICP principle has already been successfully tested in laboratory models, transferring it to industrial applications in the range of approximately 1
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operational challenges. You will model and conduct dynamic system simulations of full cooling systems (e.g. in Dymola) You will conduct experimental investigations focusing on the integration of active cooling
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Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
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atmosphere Flexible working schedule (e.g. possibility for home office, paid lunch break - depending on working hours) International training and teaching opportunities Seal of quality for in-house advancement
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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skills Interest in PhD Thesis Knowledge in inverse problems and forward models Willingness to be mobile (work in international projects, conferences, etc.) Admission Requirements Completed master's