Postdoctoral Position in Reduced-Order Modeling and Scientific Machine Learning Lawrence Livermore National Laboratory in United States

Lawrence Livermore National Laboratory is hiring a Postdoctoral Research Staff Member in the Center for Applied Scientific Computing (CASC). The position sits at the intersection of reduced-order modeling , scientific machine learning , surrogate modeling , and AI-enabled scientific workflows . The research aims to build fast, trustworthy, and data-efficient computational models that connect high-fidelity simulations with physical experiments. Topics of interest include reduced-order and surroga...

PhD opportunity at Technische Universität Braunschweig in a research group led by Prof. Henning Wessels . The project sits at the intersection of physics-informed machine learning , computational mechanics , uncertainty quantification , multiscale modeling , generative AI , and inverse design . This is a strong fit for candidates interested in scientific machine learning and mechanics-driven modeling. The post explicitly invites applicants who are passionate about these topics and want to contri...

Professor Salah A. Faroughi at the University of Utah is recruiting two PhD students for a research group opportunity at the intersection of symbolic AI , closure modeling , computational physics , and scientific machine learning (SciML) . The project interests include physics-informed machine learning , operator learning , computational mechanics , symbolic learning , and related numerical methods . This is a strong fit for students interested in combining physics-based modeling with modern AI/...

Postdoctoral opening at Bowling Green State University in Bowling Green, Ohio, United States , focused on thermal/thermofluid dynamics , industrial glass-melting furnaces , machine learning , and system identification . The project involves building models directly from real industrial process data and working with industry partners toward pilot-scale deployment. This is a strong fit for candidates interested in process modeling, applied heat transfer, fluid dynamics, data-driven modeling, and i...

Georgia Tech is hiring multiple postdoctoral fellows in the Flow Physics and Computational Science (FPCS) Lab and the Center for Multiphase flow Research (CMR). The research themes include fluid dynamics, multiphase flows, turbulence, reacting flows, machine learning for fluid dynamics, computational science, and high-performance computing. This is a strong fit for researchers with interests in advanced flow physics, numerical modeling, scientific computing, and interdisciplinary collaboration. ...