About us

Urban Morphology Studio (UMS) focuses on urban morphology as its core framework, integrating cutting-edge quantitative methods such as big data analytics, geographic information science (GIS), and artificial intelligence (AI). By adopting a multidisciplinary perspective that spans social, economic, geographic, ecological, and environmental dimensions, the studio conducts comprehensive research on urban space. We are committed to observing, understanding, and enhancing both the built and lived environments to foster more equitable, livable, and sustainable urban spaces.

Our Mission

We are committed to identifying and addressing issues in urban spaces such as poor spatial experiences, lack of equity, and inefficient resource allocation. Guided by the principle of human-centered design, we employ quantitative methods to explore and evaluate strategies for urban renewal, with the goal of enhancing the experiences and overall quality of life for city residents.

UMS advocates for inclusive participation and collaborative innovation. We engage with a wide range of stakeholders—including urban residents, policymakers, planning and design professionals, and developers—to understand diverse perspectives and reshape urban environments that are more equitable, livable, resilient, and sustainable.

Join us

UMS Urban Morphology Studio warmly welcomes students from diverse academic backgrounds who are passionate about urban issues. We emphasize interdisciplinary collaboration and knowledge co-creation, and advocate for a mentorship model grounded in mutual learning. Our goal is to foster a healthy, equitable, and open research environment built on respectful and supportive relationships between faculty and students.

Supported by the Hong Kong University of Science and Technology (Guangzhou)’s advanced research infrastructure and international academic ecosystem, we offer our members robust resources—ranging from high-performance computing facilities to well-equipped workspaces and a quality living environment. We sincerely invite aspiring scholars committed to urban spatial research and innovation to join us in shaping the future of our lab.

Prospective Doctoral Candidates

We are currently recruiting 1–2 PhD students for Fall 2025 and Spring 2026. We welcome outstanding candidates who are interested in the following research areas:

• Urban Morphology & Urban Activities
• Human-Perceived Urban Space
• AI for Urban Evaluation & Redevelopment

We are looking for candidates who meet the following qualifications:

• A strong academic background with a Bachelor’s and/or Master’s degree in architecture, urban planning, geographic information science, computer science, urban science, or other related fields, along with solid theoretical knowledge and research capabilities;
• Proficiency in programming, with experience in at least one common language such as Python or R, and familiarity with basic machine learning techniques;
• Experience with one or more relevant tools/software is preferred, including ArcGIS / QGIS, Python (PyTorch / TensorFlow), SketchUp / Rhino / BIM / Unity;
• Prior experience in artificial intelligence is a plus, especially in areas such as Generative AI or Large Language Models (LLMs);
• Strong English communication, reading, and academic writing skills, and fulfillment of HKUST PhD program admission requirements;
• Prior research experience and publications in reputable international or domestic academic journals will be considered a significant advantage.

Research assistants and Visiting Students

UMS Urban Morphology Studio welcomes applications year-round from research assistants (RAs) and visiting students who are passionate about our research themes. We encourage students from diverse academic backgrounds to engage in interdisciplinary collaboration and explore innovative topics related to urban form and the built environment.

We are looking for candidates who meet the following basic criteria:

• Strong interest in the studio’s research directions and a willingness to participate in projects related to urban morphology, urban perception, or AI-driven urban evaluation;
• Availability to work or study with us for a minimum of six months, with a high level of responsibility and self-motivation;
• Relevant academic background and foundational skills; applicants with experience in data processing or spatial analysis will be given priority.

We offer research assistants and visiting students competitive compensation, flexible working arrangements, and comprehensive academic guidance and support to foster growth and development in their research careers.

How to Apply

If you are interested in Dr. Cai Wu’s research areas and would like to apply to join the team as a PhD student, Research Assistant (RA), or Visiting Student, please send your application materials via email to: caiwu@hkust-gz.edu.cn

Please use the subject line: PhD/RA/Visiting Student Application – [Your Name]

Required application materials include:

• Curriculum Vitae (CV)
• Motivation Letter outlining your academic interests and reasons for applying
• Transcripts from your undergraduate and/or master’s studies
• Preliminary Research Proposal or Portfolio (if available)