This PhD focuses on public transport planning, operations, and policy, examining performance metrics, passenger experience, and the impacts of infrastructure projects, governance, and fare structures on travel behaviour and system efficiency.
Fully funded PhD positions focused on connected and autonomous vehicles, traffic control, and data-driven transport optimization, integrating operations research and machine learning to advance intelligent mobility systems.
This research project aims to leverage Large Language Models (LLMs) to dynamically adapt inputs, predictions, and planning in order to build more resilient and robust transport systems.
The research programmes are designed to prepare students for a career in academic research and teaching. The programmes are broad-based and provide a rigorous foundation on which the students can build an academic career of their choice.
This PhD, offered through the NTARC Driving Health Scholarship, expands the Driver Health Survey to advance research on professional drivers’ wellbeing, road safety, and industry policy in Australia’s transport sector.
This PhD develops advanced optimization methods to accelerate urban mobility digital twins. In collaboration with Polytechnique Montréal, HEC Montréal, and McGill University.