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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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is the development ferroelectric lead free ceramics sintered below 500°C and the analysis of their mechanical and electromechanical properties of elastomers with piezoelectric properties using 3D
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performed in a holistic multidisciplinary approach in close collaboration with partners from UHA, France. The foreseen results of the project shall contribute to the development of optimized textiles used
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and