Applicants should hold a degree in a relevant discipline (e.g. computer science, information engineering, industrial engineering, transport and logistics, statistics, applied mathematics) with excellent English communication skills. The student should be highly motivated with an interest in and understanding of computational modelling and simulation. Experience in computer programming (e.g. Python, C++, R, MATLAB), data visualization, numerical methods would be considered a strong advantage.
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The increasingly digital nature of urban infrastructures and services is radically changing the way we work, live and travel, and bringing about novel data availability for urban systems. This project, by utilizing multiple sources of big data, will quantify human activity and mobility patterns in two scales: within-city and inter-city, and then develop integrated approaches for within-city and inter-city human flows. At the strategic level, this project will further optimally plan infrastructures and services including ground and air transport, food supply resilience and security, healthcare facilities and services, and public health applications, to promote urban liveability and sustainability.
Computer Science and Engineering
Civil and Environmental Engineering