Digitisation is transforming urban mobility. Digitisation of vehicles (e.g. autonomous cars), infrastructure (e.g. smart motorways), and services (e.g. integrated mobility platforms) can empower multimodal urban mobility and create an integrated transport system with seamless intermodal connections. The ‘Transport and Planning' research group invites applications for a PhD position in the broad area of city-scale big data and simulation for emerging mobility. Under the supervision of Dr Haitao He, Lecturer/Assistant Professor in Urban Mobility and Intelligent Transport, the PhD student will have the unique opportunity to develop expertise in big data analysis and mobility simulations. The student will explore their application in the planning, design, management, and/or operation of emerging mobility systems, addressing their challenges in efficiency, resilience and sustainability. The student's interests and background will steer the research direction. We are seeking a talented student who is enthusiastic about developing innovative urban mobility solutions in this fast-evolving field. Due to the multidisciplinary nature of the topic, the candidate could have a background in any relevant STEM subject. The candidate should have strong analytical skills and ideally have experience in programming and working with large data sets. The successful candidate will have the chance to conduct innovative research with leading researchers both within the UK and internationally. Candidates should contact Dr Haitao He to discuss the research proposal and funding options. Highly competitive candidates can receive full/partial funding.