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

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 Multi-Scale Modeling Laboratory (SMaLL) at Politecnico di Torino is offering one postdoctoral position within the European Innovation Council (EIC) Pathfinder Open project IONFLUX . The project focuses on AI-guided materials discovery for sodium batteries , specifically the development of adaptive catholytes based on NaI-AlCl₃-BiI₃ compositions. The successful candidate will contribute to a research program that combines atomistic simulation , graph neural networks , Bayesian optimization , ...

PhD opportunity at the University of Southampton in predictive models for battery interfaces , combining quantum simulations , atomistic modelling , computational chemistry , machine learning , and electrochemistry . The project focuses on the solid electrolyte interphase (SEI) , a critical region in batteries that strongly affects performance and lifetime. You will work on large-scale quantum simulations using ONETEP together with reactive AI-driven force fields to build high-fidelity models of...

Helmholtz-Zentrum Hereon is inviting applications for a full-time postdoctoral position in automated high-throughput screening of electrolyte additives for aqueous batteries. The position is based in Geesthacht, Germany, within the Institute of Surface Science. The postdoctoral researcher will contribute to an international project developing safer, more sustainable, and cost-effective stationary energy-storage technologies. The research will combine robotic electrolyte preparation, automated el...

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...