Tao Wang
3 weeks ago
PhD Opportunity in Urban Building Energy, AI, Urban Microclimate, and Socio-Physical Modelling at The University of Hong Kong The University of Hong Kong in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
Exceptional candidates may be considered for prestigious PhD funding schemes, including the Hong Kong PhD Fellowship Scheme (HKPFS) and the HKU Presidential PhD Scholar Programme (HKU-PS).
Deadline
Dec 1, 2026
Country
Hong Kong
University
The University of Hong Kong

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opportunity at The University of Hong Kong (HKU) with Assistant Professor Tao Wang in research areas spanning urban building energy, AI, urban microclimate, and socio-physical modelling.
The post invites prospective PhD students interested in topics such as urban microclimate modelling and building energy forecasting, graph neural networks for urban and building systems, human behaviour and energy use, computational approaches to climate adaptation and sustainable cities, and grid resilience/energy flexibility/infrastructure optimization.
Eligibility highlights: applicants should have an excellent Master’s degree from a leading university and a background aligned with one or more of the listed areas. Students of all nationalities are welcome.
Funding: exceptional candidates may be considered for the Hong Kong PhD Fellowship Scheme (HKPFS) and the HKU Presidential PhD Scholar Programme (HKU-PS).
How to apply: email Tao Wang with your CV, academic transcripts, and a brief description of your research interests. Early discussions are encouraged to assess fit and prepare a competitive application.
Deadline: 1 December.
Funding details
Exceptional candidates may be considered for prestigious PhD funding schemes, including the Hong Kong PhD Fellowship Scheme (HKPFS) and the HKU Presidential PhD Scholar Programme (HKU-PS).
What's required
Applicants should have an excellent Master’s degree from a leading university and a background aligned with one or more of the listed research areas. Strong fit is expected in urban microclimate modelling, building energy forecasting, graph neural networks for urban and building systems, human behaviour and energy use, socio-physical modelling, climate adaptation, sustainable cities, grid resilience, energy flexibility, or infrastructure optimization. Students of all nationalities are welcome.
How to apply
Email Tao Wang with your CV, academic transcripts, and a brief description of your research interests. Early contact is strongly encouraged so research fit can be assessed and the application prepared competitively.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.