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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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Doctoral (PhD) Student Positions in Control and Optimization for 3D Printing The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH Zurich is a
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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on: Synthesis and characterization of catalyst pattern with 3D porosity by electrodeposition methods Synthesis and process optimization of high aspect ratio microstructured gratings by metal assisted chemical
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design approach for adapting and strengthening steel sections for reuse with WAAM, considering optimizations of material consumption, structural efficiency, and production constraints; Designing
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize