PhD position on evaluating ADAS technologies using robotics, computer vision, AI, and autonomous driving to improve vehicle safety, with additional opportunities in autonomous vehicles and robotics research.
Four-year funded PhD position focused on developing mathematical models for railway turnout lifecycle management, remaining useful life prediction, and predictive maintenance in collaboration with industry.
A PhD position developing smart sensing and data-driven methods for railway embankment monitoring using vibration analysis, structural health monitoring, physics-based modelling, and train measurement data.
A PhD position developing a digital health passport for railway tracks on bridges using structural health monitoring, vibration analysis, physics-based modelling, and data-driven methods for predictive maintenance.
A fully funded PhD scholarship investigating sustainable urban mobility transformations through data-driven methods, AI, governance, business models, and integrated transport–land use planning.
A fully funded PhD developing machine learning and data-driven methods to analyze aero-engine intake flow distortion, improving engine performance and propulsion–airframe integration in collaboration with Rolls-Royce.
