Postdoctoral Research Fellow in Computational Materials Science for Battery and Energy Applications Yerevan State University in South Korea

A post highlights dedicated PhD positions in AI-driven materials modelling , with ETH Zurich mentioned as one of the institutions building teams at this intersection. The opportunity sits at the intersection of Materials Science , Computer Science , and computational research, with a strong emphasis on AI workflows , multi-agent architectures , and the broader transformation of materials R&D. The post does not provide a specific supervisor, application portal, or deadline, but it does indicate t...

The University at Buffalo is recruiting a Postdoctoral Associate in the Department of Materials Design and Innovation , working in the Peng Research Group . This is a research-intensive opportunity at the intersection of scientific AI , atomistic simulation , computational catalysis , and data-driven materials discovery . The successful candidate will contribute to a U.S. Department of Energy Genesis Mission project focused on developing closed-loop and agentic AI workflows for chemical-manufact...

Postdoctoral Research Associate opportunity at the University of Sydney in Camperdown, New South Wales, Australia . The role sits in the School of Aerospace Mechanical and Mechatronic Engineering (AMME) and focuses on AI-enabled atomic-scale materials characterisation . The successful candidate will work at the intersection of advanced microscopy , atom probe tomography (APT) , artificial intelligence , machine learning , and materials science , using world-class characterisation facilities to s...

PhD opportunity at the University of Cambridge in the group of Stefano Racioppi (Assistant Research Professor), funded by the ERC Starting Grant QUANTEX . The project will investigate how extreme pressure changes electronic structure , chemical bonding , and chemical periodicity . The research combines ab initio methods , crystal structure prediction , and machine learning , making it a strong fit for candidates interested in theoretical chemistry , condensed matter physics , and computational m...

Sandia National Laboratories is advertising a Postdoctoral Appointee in Atomistic Modeling / Machine Learning for its Computational Materials Science Department. The role focuses on combining density functional theory (DFT) , machine learning (ML/AI) , and atomistic simulation to accelerate multiscale modeling of reactive systems and catalysis. Research activities include building a high-throughput DFT workflow to sample chemical reactions, developing ML frameworks to predict reaction events, in...