PhD in Catalyst Discovery

This PhD project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell technology, focusing on platinum-based catalysts and whole-particle modelling of Pt nanoparticles for fuel cells./nIt combines large-scale density functional theory with machine-learned interatomic potentials and automated reaction discovery to reveal how nanoparticle composition, geometry and electronic structure govern electrochemical reaction rates, helping design efficient, low-cost materials for sustainable hydrogen technologies./nThis PhD position is affiliated with the EPSRC Centre for Doctoral Training (CDT) in Modelling of Heterogeneous Systems (HetSys) at the University of Warwick and is funded as part of an Industrial Doctoral Landscape Awards (IDLA) programme in partnership with Johnson Matthey./nLocation: Coventry, University of Warwick.