PhD Studentship in Tribology: Unlocking the Black Box: A Data-Driven Framework for Surface–Lubricant Interactions (Prof Daniele Dini)
Imperial College London
United Kingdom
Summary
Funded doctoral research in data-driven tribology linking lubricant chemistry to friction, wear and energy efficiency; develop a predictive digital tool for lubricant optimization across gear and robotics interfaces using experimental testing, surface analysis, and multiscale modelling.
