At the GIFT Lab, our primary research focused on developing geocomputational algorithms, applications, and tools to enhance transport safety, accessibility, and sustainability by integrating emerging geospatial data sources, theoretical frameworks, and computing technologies.
From an applied science perspective, our research explores the value of various emerging geographic data sources (e.g. smartphone data, connected vehicle data, street view images) in transport and urban research and generates innovative geocomputational solutions based on these data to address different transport and urban challenges.
From a social science perspective, our research focuses on examining the relationships between people and transport systems and evaluating the impacts of various transport policies and interventions on diverse population groups and communities.
We are seeking candidates with research interests and experience in one or more of the following areas:
Spatial Data Science in Transport
Active Transport and Micro-mobility
Road Asset Digitisation and Management
Inequality, Safety, and Accessibility for Marginalised Road Users
If you are interested, please email your CV, a one-page research plan, and a writing sample (this can be a journal paper, book chapter, or section of a report -- preferred for PhD applicants) to Dr Xiao Li.
Email: xiao-shaw.li@polyu.edu.hk
The application deadline for January 2026 entry is 30 September 2025.
CONTACT
LSGI@PolyU: xiao-shaw.li@polyu.edu.hk
TSU@Oxford: xiao.li@ouce.ox.ac.uk
Address: Room ZS606, 6/F, South Wing, Block Z, Phase 8, 181 Chatham Road South, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Copyright © 2025 Xiao Li. All Rights Reserved.