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, ecosystems, and environmental science. These 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 topics such as 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 Prof. Qihao Weng, contributing to innovative, interdisciplinary research in urban climate, ecosystems, environment, and geospatial artificial intelligence. The research environment is dynamic and collaborative, with opportunities to engage with leading experts and state-of-the-art facilities.

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. Essential skills include algorithm development, strong English communication, and a record of 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 programming, high-performance and cloud computing, and the ability to work both independently and as part of an interdisciplinary team.

The positions offer a highly competitive remuneration package. The appointment period ranges from twelve to thirty-six months. The application deadline is 30 June 2026. For more information about the research team and Prof. Qihao Weng, visit rcaig.com. To apply, use the online application portal or contact Prof. Qihao Weng at [email protected] for further details.