Postdoctoral Fellowships in Remote Sensing, 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 focused on cutting-edge research in remote sensing, GeoAI, urban climate, and environmental science. 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 the 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, foundational models and methodologies for GeoAI in 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 research in urban climate, ecosystems, environment, and GeoAI. The research environment is dynamic and interdisciplinary, offering opportunities to collaborate across multiple fields and departments.

Eligibility requirements include a doctoral degree (or equivalent) in relevant fields such as Remote Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, 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 algorithms development and refinement, strong English language skills, and at least two first-authored publications. Preferred qualifications include expertise in quantitative methods, statistics, computer science, geospatial data analysis and modeling, AI and geospatial computer vision, advanced Python and R skills, high-performance and cloud computing experience, ability to work independently and collaboratively, and a strong publication record.

The positions offer a highly competitive remuneration package. The appointment period ranges from twelve to thirty-six months. The application deadline is December 31, 2025.

To apply, candidates should submit their application online via the provided link and may contact Professor Qihao Weng for further information. More details about the research team and projects can be found on the RCAIG website.