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The Hong Kong University of Science and Technology (Guangzhou)

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Fully Funded PhD and Postdoc Openings in 3D GIS, CIM, GeoAI, and Smart Cities at HKUST(GZ) The Hong Kong University of Science and Technology (Guangzhou) in China

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Fully funded PhD students receive RMB 15,000 per month for up to four years, with early graduation encouraged. Postdoctoral Fellows, Red Bird MPhil students, Research Assistants, and Visiting Students will follow relevant HKUST(GZ) schemes and individual arrangements.

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Country

China

University

The Hong Kong University of Science and Technology (Guangzhou)

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Keywords

Computer Science
Remote Sensing
Geography
Artificial Intelligence
Urban Planning
Civil Engineering
Photogrammetry
Architecture
Digital Twin Technology
Smart Cities
Spatial Statistics
Robotics
Statistics
Large Language Models
ML
computational architecture

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About this position

Fully funded openings are available at The Hong Kong University of Science and Technology (Guangzhou) for PhD students, Postdoctoral Fellows, Red Bird MPhil (RBM) students, Research Assistants, and Visiting Students.

The group’s research focuses on 3D GIS, City Information Modeling (CIM), GeoAI, smart city systems, digital twins, and urban big data AI/statistical analytics. Two main directions are highlighted: (1) 3D GIS/CIM/AI-assisted smart city and digital twin applications, and (2) 3D CIM-supported urban big data AI and statistical analytics.

Applicants from backgrounds such as computer science, photogrammetry, remote sensing, spatial/geographic statistics, EEE, robotics, construction automation, computational urban planning, computational architecture, and urban design are encouraged to apply. Experience with machine learning, graph-based methods, large language models (LLMs), and robotics control is especially valued.

PhD students will receive a scholarship of RMB 15,000/month for up to four years, with early graduation encouraged. Funding and appointment details for postdocs, RBM students, RAs, and visiting students depend on HKUST(GZ) schemes and individual arrangements.

To apply, send a cover letter, CV, research proposal, and academic transcript(s) by email. Optional supporting materials include published papers, project demos, personal websites, and GitHub repositories.

Applications for PhD intake are for Spring or Fall 2027. Postdoc/RBM/RA/Visiting Student applications are welcome year-round with flexible start dates.

Funding details

Fully funded PhD students receive RMB 15,000 per month for up to four years, with early graduation encouraged. Postdoctoral Fellows, Red Bird MPhil students, Research Assistants, and Visiting Students will follow relevant HKUST(GZ) schemes and individual arrangements.

What's required

Applicants should have backgrounds in 3D GIS, computer science, photogrammetry and remote sensing, spatial/geographic statistics, EEE, robotics, construction automation, computational urban planning, computational architecture, urban design, or related fields. Candidates with research experience in 3D GIS, City Information Modeling (CIM), GeoAI/AI, graph-based methods, machine learning, large language models (LLMs), and robotics control are particularly encouraged. Required application materials include a cover letter, CV, research proposal, and academic transcript(s); published papers, programming/project demos, personal websites, and GitHub repositories are optional but welcome.

How to apply

Email the required application materials to [email protected]. Use the subject line: “Postdoc/PhD/RBM/RA/Visiting Student Application – Research Direction [1 or 2] – [Your Name]”.

More information can be found here

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