Fully funded Postdoc Computer Science & AI Hong Kong

Postdoctoral Fellow in Transport, Urban Environment and Spatial Data Science

THE UNIVERSITY OF HONG KONG, Hong Kong

Institution
THE UNIVERSITY OF HONG KONG
Country
Hong Kong
Position type
Postdoc
Subject area
Computer Science & AI
Salary
Competitive salary
Hours
Full Time
Location
HK
Funding
Fully funded position

Want to be the strongest applicant for this position?

Book a free 15-minute call with our team. We will look at your profile against what THE UNIVERSITY OF HONG KONG is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.

Book a free call about this position →

No cost, no obligation. Mentors who have secured funded PhD positions themselves.

How our PhD admission mentorship works →

We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.

About this position

Ref.: 537709
Work type: Full-time
Department: Department of Geography (30900)
Categories: Senior Research Staff & Post-doctoral Fellow

PEACE Research Group | Department of Geography | The University of Hong Kong (HKU)

Applications are invited for a Postdoctoral Fellow position in the PEACE Research Group at the Department of Geography, The University of Hong Kong (HKU). The appointment will commence on a mutually agreed date.

The PEACE Research Group conducts interdisciplinary research at the intersection of transport, environment, urban systems and human populations, with a particular emphasis on the application of spatial data science and emerging computational methods. Our team brings together researchers from diverse backgrounds, including engineering, data science, urban planning, public health and economics. We foster an open, collaborative and stimulating research environment that encourages interdisciplinary learning and innovation.

HKU and its Geography discipline are both ranked 11th globally in the QS rankings.

Qualifications and Requirements

Applicants should possess:

  • A Ph.D. degree (awarded or nearing completion) in Transportation, Environmental Science, Urban Planning, Data Science, Public Health, or a closely related discipline.
  • Strong quantitative analytical and problem-solving skills, with relevant research experience in urban environments, spatiotemporal data analysis, artificial intelligence or related fields.
  • Excellent academic writing and communication skills in English, with a demonstrated record of publications in high-quality international peer-reviewed journals.
  • Strong self-motivation, independence, teamwork and project management skills, with the ability to initiate and conduct research and contribute to interdisciplinary collaborations.

Preference will be given to candidates with experience in large-scale or cross-regional research, advanced AI or computational methods, or an outstanding publication record in leading international journals.

Research Areas

Potential research directions include, but are not limited to:

  • Transport, Environment and Urban Systems
  • AI-enabled Urban and Data-driven Research
  • Human Mobility, Environmental Exposure and Population Health

Methods and Technical Expertise

Relevant methodological expertise may include:

  • Applied AI, Machine Learning and Emerging Computational Methods
  • Environmental Monitoring and Smart Sensing (Indoor/Outdoor, Mobile/Fixed)
  • Remote Sensing, GIS and Spatial Analytics
  • Spatiotemporal Big Data Analytics and Modelling

Candidates are not expected to have expertise in all the above areas. We particularly welcome applicants who can bring complementary disciplinary perspectives and methodological strengths to the research group.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online applications for the above post. Applicants should apply online and upload (1) an up-to-date curriculum vitae (CV); (2) representative research publications; (3) a research statement or proposed research plan, outlining their research interests, relevant expertise and potential research directions; and (4) at least two academic reference letters from referees familiar with their research experience and academic potential.

Review of applications will start as soon as possible and continue until November 30, 2026, or until the post is filled, whichever is earlier.

The University thanks applicants for their interest but advises that only candidates shortlisted for interviews will be notified of the application results.

For enquiries about the position, please contact Dr. Junshi Xu at junshixu@hku.hk.

Apply directly to THE UNIVERSITY OF HONG KONG

Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by THE UNIVERSITY OF HONG KONG, and your application goes to them. We help students prepare and strengthen their applications.

Go to the official application page →

Contact listed in the advert

Some positions — especially in Germany, Austria and Switzerland — are filled by writing directly to the supervisor rather than through an online form. These addresses were taken from the advert text, so check them against the official listing before you write.

A cold email to a supervisor is the highest-leverage thing you can send — and the easiest to get wrong. Ask us to look at yours before you hit send.

Guides for this application

All open PhD positions in Hong Kong →

Other funded positions you might like

Browse all open positions →
Book a free call