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Qihao Weng

Professor

The Hong Kong Polytechnic University

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Hong Kong

Has open position

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Research Interests

Ecology

20%

Environmental Sustainability

10%

Environmental Science

50%

Computer Science

50%

Remote Sensing

50%

Geography

50%

Climate Resilience

40%

Positions5

Publisher
source

The Hong Kong Polytechnic University

The Hong Kong Polytechnic University

Research Assistant Professor Opening in Geospatial Artificial Intelligence, Geomatics, Global Change Ecology, Urban Science and Sustainability

The Research Centre for Artificial Intelligence in Geomatics (RCAIG) and the JC STEM Lab of Earth Observations at the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, are seeking applications for a Research Assistant Professor (RAP) position. This opportunity is directed by Professor Qihao Weng and focuses on cutting-edge research in Geospatial Artificial Intelligence (GeoAI), Geomatics, Global Change Ecology, Urban Science, and Sustainability. The department is recognized for excellence in education and research, offering advanced programs in land surveying, geomatics, urban informatics, and smart cities. The RAP will join a vibrant research environment with access to well-equipped laboratories and interdisciplinary collaboration across five academic departments. The successful candidate will conduct research, pursue external grants, provide quality teaching at undergraduate and postgraduate levels, and contribute to departmental service. The position offers the possibility to supervise doctoral students and postdoctoral researchers independently. Applicants must hold a PhD in a relevant field such as Ecology, Meteorology, Climatology, Natural Resources, Agricultural or Forestry Engineering, Geography, Geoscience, Environmental Science, Economics, Planning, Remote Sensing, GIScience, Computer Science, Statistics, Data Science, or related disciplines. Preferred qualifications include at least two years of postdoctoral research experience, strong quantitative and methodological skills, creative research ability, effective teaching in English, and collaborative work ethic. Additional preferences are given to candidates with expertise in quantitative methods, geospatial methods, AI and machine learning, high-performance and cloud computing, scientific computing, independent research capability, a strong publication record (minimum five first-authored papers in reputed international peer-reviewed journals), and familiarity with scientific discovery processes. The position offers a highly competitive package, including medical benefits and a gratuity upon completion of the term. The initial appointment is for two to three years, with the possibility of renewal up to six years. The RAP can apply for research funding from the Hong Kong government (Research Grant Council). Applications are considered starting 3 November 2025 until the position is filled. Interested candidates should apply online via the official portal and review the job details for submission instructions. Key research areas include GeoAI, geomatics, global change ecology, urban science, sustainability, remote sensing, GIScience, data science, quantitative methods, machine learning, and environmental science. The department encourages applications from highly motivated individuals eager to contribute to innovative research and academic excellence in these fields.

just-published

Publisher
source

The Hong Kong Polytechnic University

The Hong Kong Polytechnic University

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

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.

1 month ago

Publisher
source

Qihao Weng

University Name
.

The Hong Kong Polytechnic University

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

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, and sustainable development. 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. The research environment is highly interdisciplinary, fostering innovation and collaboration across geoinformatics, artificial intelligence, and environmental studies. Key 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, and foundational models and methodologies for GeoAI in smart and resilient cities. There is also scope for proposing novel research ideas within these broad themes. Successful candidates will work under the supervision of Professor Qihao Weng, contributing to innovative research in urban climate, ecosystems, environment, and GeoAI. The positions offer a dynamic and supportive research culture, with access to advanced facilities and collaboration opportunities within RCAIG and the wider university community. Applicants must have a doctoral degree (or equivalent) in a relevant field 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, or Economics, with no more than five years of post-qualification experience. Essential skills include algorithm development, strong English communication, and a record of first-authored publications. Preferred qualifications include expertise in quantitative methods, geospatial data analysis, AI, computer vision, scientific computing (Python, R), high-performance and cloud computing, and the ability to work both independently and collaboratively. The positions are fully funded for twelve to thirty-six months, with a highly competitive remuneration package. The application deadline is 30 June 2026. For more information about the team and Professor Weng, visit the provided links. Interested applicants should apply online and may contact Professor Weng for further details.

just-published

Publisher
source

Qihao Weng

University Name
.

The Hong Kong Polytechnic University

Postdoctoral Fellowships in Remote Sensing, GeoAI, and Urban Climate at The Hong Kong Polytechnic University

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.

just-published

Publisher
source

Qihao Weng

University Name
.

The Hong Kong Polytechnic University

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

The Department of Land Surveying and Geo-Informatics at The Hong Kong Polytechnic University is offering multiple postdoctoral fellowships in collaboration with the Research Centre for Artificial Intelligence in Geomatics (RCAIG). These positions focus on cutting-edge research in GeoAI, urban climate and environment, urban ecology, and sustainable development. The research projects include topics such as the response of vegetation phenology to land surface temperature, optimal use of satellite thermal infrared image data, climate resilience to extreme heat, land-based climate adaptation and mitigation solutions, and foundational models for smart and resilient cities. Applicants are also encouraged to propose novel research ideas within these domains. Successful candidates will work under the supervision of Professor Qihao Weng, contributing to innovative and interdisciplinary research in urban climate, ecosystems, environment, and GeoAI. The RCAIG fosters collaboration across five academic departments and three faculties, leveraging the JC STEM Lab of Earth Observations. The center is committed to promoting interdisciplinary research, talent development, and engagement with stakeholders in government, industry, and the community. Applicants must have 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. Candidates should 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, computer science, geospatial data analysis and modeling, AI and geospatial computer vision, advanced programming skills in Python and R, experience with high-performance and cloud computing, and a strong publication record. The appointment period ranges from twelve to thirty-six months, and a highly competitive remuneration package is offered. The closing date for applications is 30 June 2026. For more information about the team and Professor Qihao Weng, visit the provided links. Interested applicants should apply online and may contact Professor Weng for further details.

just-published