PhD Student in Materials Science: Texture Tomography of Additively Manufactured Lightweight Alloys Paul Scherrer Institute in Switzerland

Fully funded opportunity in physics-constrained generative AI modelling at École Nationale des Ponts et Chaussées (ENPC) and Université Paris-Saclay , France, with work in CEREA, ENPC / Institut Polytechnique de Paris in collaboration with LISN (ANR MilaDy Project). This post advertises a Master’s internship and a PhD position for candidates interested in computer science , physics , applied mathematics , and related areas. The research focus is on generative AI , machine learning , physical mod...

KU Leuven is advertising a fully funded PhD position in the Additive Manufacturing team of the Department of Mechanical Engineering in Leuven, Belgium. The project is part of the Marie Skłodowska-Curie Doctoral Networks initiative TURBO-IMPACT and focuses on Laser Powder Bed Fusion (LPBF) of novel high temperature-resistant multi-metal combinations for small-scale turbomachinery . The research topic is highly relevant to mechanical engineering , materials science , additive manufacturing , and c...

We are hiring a Postdoc in AI for Additive Manufacturing at ICBMS-3d.FAB (CNRS – University of Lyon) in Lyon, France . The project sits within the Softshield – France 2030 program and focuses on Artificial Intelligence , Physics-Informed Neural Networks , additive manufacturing , physics , simulation , and experimental data . The goal is to develop AI models that combine these data sources to support predictive and intelligent manufacturing systems, including digital twin approaches. The lab is ...

Jan Niklas Fuhg, Assistant Professor at the University of Texas at Austin, is looking for two PhD students to join his group in Fall 2027. The research directions highlighted are: computational multiphysics modeling, focused on developing new computational methods for problems where multiple physical processes interact; and inverse modeling for medical imaging with differentiable PDE solvers, combining differentiable physics-based simulations, inverse methods, and machine learning to extract mec...

EPFL is advertising a postdoctoral researcher position in data-driven X-ray nanoimaging for semiconductor metrology . The project sits at the intersection of physics , computer science , electrical engineering , materials science , and mathematics , with a strong focus on inverse problems , 3D reconstruction , tomography , laminography , coherent diffractive imaging , and machine learning for imaging . The research goal is to develop acquisition and reconstruction methods that use known semicond...