Fully Funded PhD in Vehicle Dynamics, Multi-Physics Modelling and Machine Learning for Tyre Friction Prediction on Ice and Snow Loughborough University in United Kingdom

Fully funded PhD opportunity at Loughborough University in vehicle dynamics, multi-physics modelling, and machine learning. The project focuses on predicting tyre friction on ice and snow using both physics-based and data-driven approaches, making it a strong fit for candidates interested in intelligent mobility, modelling, and automotive research.

The post is announced by Professor Georgios Mavros, Professor in intelligent mobility and vehicle dynamics at Loughborough University. The opportunity is co-funded by EPSRC and JLR, indicating a research-led industrially relevant PhD with strong applied impact.

This is a PhD opening only. The deadline is stated as 19 June 2026, so applicants should act quickly. The post mentions that the advert includes a link to the Loughborough University application portal.

Relevant study areas include mechanical engineering, physics, computer science, materials science, and intelligent mobility. Ideal applicants will likely have an interest in tyre-road interaction, modelling under winter conditions, and combining simulation with machine learning methods.