A research position within Transport Science focusing on quantitative urban modelling, AI, and machine learning applications for urban and regional planning.
Join a research initiative focused on Next‑Generation Traffic Digital Twins. Work on the Traffic Digital Twin (D3E) framework to support data‑driven urban mobility planning and collaborate with industry and multidisciplinary experts to shape future city transport systems.
Fully-funded PhD within the SEAI-funded CIRCUIT project, focusing on causal inference and agent-based modelling of transport behaviour, residential energy use, and urban sustainability policy.
A 3-year PhD program focused on advanced research in transport systems, aiming to develop innovative, sustainable mobility solutions. It combines interdisciplinary training with strong academic and industry relevance, supported by international collaboration (including MIT).
Multiple international PhD positions at Zhejiang University focusing on transportation systems. Research areas include connected and automated transportation, ground-air collaborative systems, and AI for transportation.
A fully funded PhD project developing multimodal foundation models to improve autonomous vehicle perception under varied road and weather conditions and to study how these affect user trust and perceived safety on UK roads.