We welcome graduate students and senior undergraduates interested in urban computing, Geo-AI, spatio-temporal big data, multimodal urban sensing, urban foundation models, and human mobility analysis.
The lab is equipped with deep learning servers, urban big data platforms, urban intelligence development kits, and high-performance workstations, with datasets covering POIs, buildings, mobility, mobile positioning, nighttime lights, and street-view imagery.
Applicants with backgrounds in computer science, data science, GIS, remote sensing, urban science, or related fields are encouraged to apply, especially with programming, data analysis, machine learning, or deep learning experience.
Students with Python, R, JavaScript, C/C++ experience, or interests in algorithms, Geo-AI, urban computing, WebGIS, visualization, and system development are welcome to join.
