Postdoctoral Fellowships in GeoAI, Urban Climate, and Environmental Science at The Hong Kong Polytechnic University The Hong Kong Polytechnic University in Hong Kong

The Department of Land Surveying and Geo-Informatics at The Hong Kong Polytechnic University is offering multiple postdoctoral fellowships in cutting-edge research areas including GeoAI, urban climate, environmental science, urban ecology, and sustainable development. The positions are part of the Research Centre for Artificial Intelligence in Geomatics (RCAIG), a collaborative initiative spanning five academic departments and three faculties, leveraging the JC STEM Lab of Earth Observations.

Research projects include: response of vegetation phenology to land surface temperature in major metropolitan areas across the Asian Monsoon regions, optimal use of satellite thermal infrared image data for advancing land surface temperature analysis and mitigating urban heat stress, climate resilience to extreme heat along urban-rural gradients in Asia, land-based climate adaptation and mitigation solutions, GeoAI for smart and resilient cities, and smart traffic systems. Candidates are also encouraged to propose novel research ideas within these domains.

Successful applicants will work under the supervision of Professor Qihao Weng, contributing to innovative, interdisciplinary research in urban climate, ecosystems, environment, and GeoAI. The research environment is dynamic and fosters collaboration across disciplines, with a strong emphasis on innovation and impactful outcomes for Hong Kong, the Greater Bay Area, and beyond.

Eligibility requirements include a doctoral degree (or equivalent) in relevant fields such as Remote Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, Architecture, Geoscience, Environmental Science, Landscape Ecology, Meteorology and Climatology, Natural Resources, Agricultural and Forest Engineering, Economics, or related disciplines. Applicants must have no more than five years of post-qualification experience, experience in algorithm development, strong English communication skills, and at least two first-authored publications. Preferred qualifications include expertise in quantitative methods, statistics, geospatial data analysis and modeling, AI and geospatial computer vision, advanced programming skills (Python, R), high-performance and cloud computing, and a strong publication record.

The positions offer a highly competitive remuneration package and are available for a period of twelve to thirty-six months. The application deadline is 30 June 2026. For more information about the team and Professor Weng, visit the RCAIG website. Interested candidates should apply via the official PolyU job portal and may contact Professor Weng for further details.