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The Hong Kong Polytechnic University

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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

Degree Level

Postdoc

Field of study

Computer Science

Funding

A highly competitive remuneration package is offered. Specific details on salary, stipend, or tuition coverage are not provided.

Deadline

Expired

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Country

Hong Kong

University

The Hong Kong Polytechnic University

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Urban Planning
Spatial Analysis
Smart Cities
Geoinformatics
Climate Resilience
Urban Climate
Statistics
Satellite Data
Geoai
Ecosystems

About this position

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.

Funding details

A highly competitive remuneration package is offered. Specific details on salary, stipend, or tuition coverage are not provided.

What's required

Applicants must hold a doctoral degree or equivalent qualification in 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 a related field, with no more than five years of post-qualification experience. Required skills include experience in algorithms development and refinement, strong command of written and spoken English, and at least two first-authored publications. Preference is given to candidates with a strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling, experience in AI and geospatial computer vision, advanced skills in Python and R, experience in high-performance and cloud computing, ability to work independently and collaboratively, and a strong publication record.

How to apply

Apply online via https://lnkd.in/ghpRAtv9. For further information, contact Prof. Qihao Weng at [email protected]. Review the job details at https://jobs.polyu.edu.hk/job_detail.php?job=250625011. Ensure you meet all eligibility criteria before applying.

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