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Sprachauswahl FAQ de Stellenportal chevron_left Übersicht Partnerinserat chevron_left Übersicht Research Associate – AI-Driven Process Optimization for Smart Manufacturing 100%, Zurich, fixed-term
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method (FEM) simulations using metamodeling techniques and Machine Learning (ML). By enriching datasets and leveraging advanced simulations to optimize ML models, we seek to enhance manufacturing
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV
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Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
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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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-relevant research challenges such as controlling high precision production machines, optimizing machine tools, or conceiving sustainable manufacturing processes. This position is envisaged to be part of
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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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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. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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We are looking for a creative and hands-on Polymer Chemist with Formulation Expertise to join our growing team. In this role, you’ll play a key part in developing and optimizing innovative, bio