Post-Doctoral Fellow in Physics-Informed Machine Learning for Semiconductor Process Modeling George Washington University in United States

Ruhr University Bochum is advertising a postdoctoral researcher position in the group of Prof. Silvana Botti at the Research Center Future Energy Materials and Systems (RC FEMS) . The role is part of the EU-funded Horizon Europe project AIM (AI-Multiscale Integration for Waste-to-Value Digital Twins) . The research focus is on advanced computational methods for modeling photo-excited states and ultrafast dynamics at complex catalytic interfaces , with direct relevance to waste-to-value technolog...

Immediate postdoctoral researcher openings are available in the group of Shyam Kattel at the University of Central Florida . The position is centered on theoretical heterogeneous catalysis and the modeling of electrochemical reactions on surfaces and interfaces . Successful candidates should bring experience in first-principles density functional theory (DFT) , grand canonical DFT (GC-DFT) , microkinetic modeling , kinetic Monte Carlo simulations , and machine learning methods . The group also v...

PhD opportunity in battery modelling, electrochemical interfaces, atomistic modelling, first-principles simulations, and machine-learned interatomic potentials at CIC energiGUNE in Vitoria-Gasteiz, Spain . The Modelling and Simulation group is recruiting a PhD candidate for e-ChemIn , a Marie Skłodowska-Curie Actions Doctoral Network focused on understanding and engineering electrochemical interfaces for next-generation energy technologies. The selected doctoral candidate will study how buried e...

Co-op opportunity in Machine Learning for Digital Twins at Lila Sciences This post advertises a co-op opening in Machine Learning for Digital Twins at Lila Sciences in Cambridge, Massachusetts, United States. The role is aimed at a Master’s or PhD student with strong interest in applying machine learning to scientific and experimental systems. The work sits within Physical Sciences AI and focuses on building calibrated, uncertainty-aware digital twins that support the design and execution of nex...

Lawrence Berkeley National Laboratory’s Molecular Foundry is identifying candidates for a postdoctoral researcher position focused on developing AI/digital twin frameworks for polymer discovery . This opportunity is a strong fit for applicants with experience in polymer science , molecular simulation , machine learning , materials informatics , polymer property prediction , or data-driven materials design . The post emphasizes research at the intersection of polymers, simulation, and AI-enabled ...