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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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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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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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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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: Experience in machine learning, optimization, or AI-driven decision-making Preferably knowledge of Bayesian optimization or Gaussian processes Programming experience (Python, MATLAB, or similar) Soft Skills
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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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10%-30%, Zurich, fixed-term The Centre for Energy Policy and Economics (CEPE) at ETH Zurich is seeking a student research assistant to work on the project ‘Sustainable Consumption’. The objective
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documents: CV short statement of objectives and research interests (1-2 pages) transcripts of all degrees obtained (in English) names and contact information of three references one publication (e.g. thesis
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. A nontechnical introduction can be found under here , whereas a more technical introdution is available from here . Job description The objective of the position is to work within a Swiss-French
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. This project will contribute evidence on the implications of sustainability standards for cooperatives and their workers. The overarching objective and vision of this project is to advance the fair and equitable