PhD in AI-Guided Materials Discovery for Next-Generation Sodium 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...

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 , ...

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 Sustainable Materials Engineering (SUME) research group at Vrije Universiteit Brussel (VUB) is offering an urgent PhD position focused on battery interface design using AI-driven modelling and multiscale simulations. The project sits at the intersection of advanced battery materials, computational chemistry, and machine learning. It aims to understand and engineer solid-solid and solid-liquid interfaces through an integrated modelling framework spanning atomistic methods such as DFT, AIMD, a...

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...