Songhua Hu
1 year ago
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Ph.D. position in Architecture and Civil Engineering City University of Hong Kong in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
PhD students will receive approximately HKD 19,000 per month. Outstanding applicants may be nominated for the Hong Kong PhD Fellowship Scheme, which provides about HKD 28,000 per month. Positions are fully funded.
Deadline
Aug 1, 2026
Country
Hong Kong
University
City University of Hong Kong

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About this position
Songhua Hu, joining City University of Hong Kong as an Assistant Professor in Fall 2025, is recruiting fully funded PhD students for Spring/Fall 2026 in the Department of Architecture and Civil Engineering. The research focuses on urban mobility sensing and computing, leveraging big data, deep learning, and computational methods to advance smart, sustainable, resilient, and equitable mobility systems. Applicants with backgrounds in data science, computer science, operations research, transportation, or geography are encouraged to apply; experience with large language models (LLMs) is a plus.
Research topics include multi-structured mobility data fusion, large-scale human movement simulation, agent-based modeling, geospatial AI, and the interaction between human mobility, urban environment, transport networks, public health, and social equity. PhD students will receive a stipend of approximately HKD 19,000/month, with outstanding candidates eligible for the Hong Kong PhD Fellowship Scheme (~HKD 28,000/month). To apply, candidates should send their CV, transcript, and optional research statement to [email protected]. The application window is for Spring/Fall 2026.
For more information, visit the supervisor's personal website and the CityU PhD Fellowship Scheme page.
Funding details
PhD students will receive approximately HKD 19,000 per month. Outstanding applicants may be nominated for the Hong Kong PhD Fellowship Scheme, which provides about HKD 28,000 per month. Positions are fully funded.
What's required
Applicants should have a background in data science, computer science, operations research, transportation, or geography. Experience with large language models (LLMs) is a plus. Candidates should submit a CV, transcript, and an optional research statement. No specific GPA, language test, or other requirements are mentioned.
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