Publisher
source

The University of Hong Kong

Postdoctoral Fellow in Intelligent Transportation Systems and Traffic Simulation The University of Hong Kong in Hong Kong

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral fellowship with a highly competitive salary commensurate with qualifications and experience. Benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries. Appointment is for 1 or 2 years, with possible renewal subject to satisfactory performance and funding availability.

Deadline

Dec 31, 2026

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Country

Hong Kong

University

The University of Hong Kong

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Keywords

Computer Science
Information Technology
Transportation Engineering
Mathematics
Intelligent Transportation Systems
Civil Engineering
Industrial Engineering
Traffic Flow Theory
Statistics
ML

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About this position

Postdoctoral Fellow opportunity in Intelligent Transportation Systems at The University of Hong Kong. The Department of Civil Engineering is recruiting 3 postdoctoral fellows to work on the TIASim project, which focuses on developing a Hong Kong-localised microscopic traffic simulation and visual analytics platform for Traffic Impact Assessment (TIA).

The project includes research and development in traffic simulation, transportation data analytics, AI/machine learning, web-based transportation systems, database development, and related areas. Possible tasks include calibrating and validating microscopic traffic models for Hong Kong traffic conditions, building web-based transportation analysis and workflow modules, developing intelligent traffic diagnosis and mitigation methods, analysing real-world transportation data, and integrating simulation, databases, and AI-assisted workflows.

Eligibility: Applicants should hold a Ph.D. in Transportation Engineering, Civil Engineering, Computer Science, Data Science, Operations Research, Applied Mathematics, Automation, or a related field. Preferred experience includes transportation modelling, traffic simulation, intelligent transportation systems, programming (Python, C++, MATLAB, Java, JavaScript, R), real-world transportation data analysis, and strong academic writing and teamwork skills.

Funding and terms: This is a full-time postdoctoral appointment with a highly competitive salary, annual leave, medical benefits, and access to campus facilities. The appointment starts as soon as possible for 1–2 years, with possible renewal depending on performance and funding.

Application: Apply online via the HKU Careers site and submit an up-to-date CV. Applications are reviewed immediately and accepted until 31 December 2026 or until the positions are filled.

Funding details

Full-time postdoctoral fellowship with a highly competitive salary commensurate with qualifications and experience. Benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries. Appointment is for 1 or 2 years, with possible renewal subject to satisfactory performance and funding availability.

What's required

Applicants should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science, Operations Research, Applied Mathematics, Automation, or a related field. Preferred qualifications include a strong research background in transportation modelling, traffic simulation, intelligent transportation systems, transportation data analytics, AI/machine learning, web-based transportation systems, or database development; strong programming skills in Python, C++, MATLAB, Java, JavaScript, R, or related languages; experience analysing real-world transportation data or developing transportation-related models/software; strong analytical, communication, and academic writing skills; and the ability to conduct independent research and work effectively in a multidisciplinary team. The post is full-time.

How to apply

Apply online through the University of Hong Kong Careers site and upload an up-to-date CV. Applications are reviewed as soon as possible and continue until 2026-12-31 or until the posts are filled, whichever is earlier.

More information can be found here

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