Fully funded PhD positions focused on AI-driven optimisation, LLM-based simulation modelling, and supply chain resilience analysis, combining machine learning, uncertainty quantification, and decision intelligence.
Fully funded doctoral training programme focused on sustainable and net-zero aviation technologies, including advanced aircraft design, propulsion systems, electrification, cryogenic fuels, and autonomous structural health monitoring. Includes industry collaboration, training, and placements.
Fully funded PhD focused on spatial optimisation and geo-spatial modelling to assess and improve the resilience of electric vehicle charging networks against extreme weather and climate-related risks.
A funded PhD opportunity focused on developing augmented virtual testing methods for autonomous driving systems, with emphasis on interactions between human drivers, autonomous vehicles, and vulnerable road users to improve safety and human-centred transport systems.
A 3.5-year fully funded PhD investigating how liquid hydrogen behaves in composite aircraft storage tanks during manoeuvring conditions, combining experiments and multiphysics modelling (CFD/FEA/FSI) to assess sloshing effects, hydrogen permeation, and tank safety for zero-emission aviation.
A 3-year fully funded PhD studentship investigating how digital mobility tools can be redesigned to better reflect gendered and care-related travel needs, supporting more inclusive transport planning and policy.