Postdoctoral Position in AI-Guided Materials Discovery for Batteries Politecnico di Torino in Italy

The Multi-Scale Modeling Laboratory (SMaLL) at Politecnico di Torino is recruiting for a PhD position within the European Innovation Council (EIC) Pathfinder Open project IONFLUX . The project sits at the intersection of computational materials science , machine learning , and energy storage , with a strong focus on developing AI-guided methods to discover adaptive catholytes for sodium batteries . The doctoral project will run for 3 years and will investigate how molecular composition influence...

Politecnico di Torino is seeking a PhD candidate to join its Multi-Scale Modeling Laboratory (SMaLL) through the newly funded EIC Pathfinder Open project IONFLUX. The project explores whether artificial intelligence and molecular-level understanding can be combined to discover entirely new energy-storage materials. The doctoral researcher will focus on adaptive materials for next-generation sodium batteries, working at the intersection of molecular simulations, machine learning, and materials sc...

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...

Linköping University is advertising a PhD position in Materials Science at the Laboratory of Organic Electronics (LOE) in Norrköping, Sweden . The project sits in computational materials science and focuses on understanding and predicting coupled ionic and electronic transport in organic functional materials for sustainable energy technologies. The doctoral project will develop multiscale simulation methods that combine atomistic simulations, molecular dynamics, delocalized kinetic Monte Carlo, ...

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...