Postdoctoral Researcher in Goal-Oriented Multi-Fidelity Strategies for Predicting Turbulent Flows Centre National de la Recherche Scientifique in France

CNRS is advertising a researcher fixed-term contract at the Laboratoire des Ecoulements Géophysiques et Industriels (LEGI) in Gières, Isère, France . The position is in the MOST team (Modelling and Simulation of Turbulence) and focuses on computational fluid dynamics , numerical methods , anisotropic mesh adaptation , RANS , LES , turbulence modeling, and scientific computing within the YALES2 code. The project aims to improve the interaction between numerical schemes and highly anisotropic mesh...

PhD position reopened at IFPEN near Paris in fluid mechanics and numerical simulation . The project is supervised by Rémi Zamansky (IMFT) together with the local team at IFPEN, including Jean‑Lou Pierson , Hélène Lorcet , and Victor Boniou . The research builds on direct numerical simulation with Basilisk to study droplet populations in turbulence and aims to extend the method to more realistic flows relevant to liquid-liquid extraction , biomass chemicals production , and battery recycling . Id...

CNRS is advertising a researcher fixed-term contract at the Laboratoire des Ecoulements Géophysiques et Industriels (LEGI) , UMR 5519, in Gières, Isère, France . The project is titled “Prediction of Bistable Flows and Extreme Events through High-Fidelity Simulations and Dynamic Mesh Adaptation” and is hosted by the MOST team (Modelling and Simulation of Turbulence). The research focuses on fluid mechanics , computational fluid dynamics , DNS , LES , turbulent flows , bistable dynamics , regime t...

Deutsches Elektronen-Synchrotron (DESY) is offering a Postdoctoral Researcher in Computational Science Methods position within the Information Technology (IT) group in Germany. DESY is one of the world’s leading research centres, with major sites in Hamburg and Zeuthen, and the new role is embedded in a growing research group focused on computational and data science methods. The position is aimed at researchers interested in developing novel algorithms, efficient computational methods, and inno...

Uppsala University is advertising a PhD position in Nuclear Fuel Performance Modelling and Machine Learning within the Division of Applied Nuclear Physics and the ANItA competence centre . The project combines nuclear engineering , applied physics , machine learning , statistical modelling , scientific computing , and physics-based simulations to develop fast and reliable methods for nuclear fuel-performance analysis. The research aims to build surrogate models and calibration/uncertainty-quanti...