Eliodoro Chiavazzo

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 science. The research includes atomistic simulations and molecular dynamics, machine-learning methods such as graph neural networks and Bayesian optimization, and AI-guided discovery of innovative battery materials. An important aspect of the work is the integration of computational predictions with experimental feedback, connecting advanced computational strategies with practical materials research. The PhD offers an interdisciplinary research environment within the SMaLL laboratory, combining AI and physics to address fundamental challenges in energy storage.