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10 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Chemical engineering Engineering » Process engineering Environmental science » Water science Researcher
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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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approach to (1) better understand and steer refrigeration processes or packaging design by optimizing for product quality loss and waste, and (2) connect the improved quality preservation from digital twins
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. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set
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process (process-specific design) (2) Optimization of the LPBF process parameters to achieve desired microstructure and material properties, (3) In-depth materials, and property testing and (4) Prototype
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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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is to investigate the optimal configuration for utility-scale AWE farms, considering the physics, economics, and environmental impact. To determine the optimal scaling strategies for kite farms, a