Postdoctoral Fellow in Transport, Urban Environment and Spatial Data Science

University of Hong Kong; Hong Kong; Vor Ort; HKD 480.000 - 600.000; Vollzeit

Benefits dieser Stelle

Annual leave

Medical benefits

Zusammenfassung

The PEACE Research Group at the Department of Geography, The University of Hong Kong, invites applications for a Postdoctoral Fellow position. The appointee will join interdisciplinary efforts at the intersection of transport, environment and spatial data science and contribute to high-impact publications.

Applicants should have a PhD in a relevant field, strong quantitative skills, and proven English writing ability.

Qualifikationen

• PhD in a relevant discipline (transportation, environmental science, urban planning, data science, public health or related).
• Strong quantitative analytical and problem-solving skills with research experience in urban environments and spatiotemporal data analysis.

Aufgaben

• Conduct independent and collaborative research in transport, environment and urban data science.
• Contribute to interdisciplinary collaborations within the PEACE Research Group and department.

Kenntnisse

Quantitative analytics

English writing

Independence

Teamwork

Project management

Ausbildung

PhD in Transportation/Environmental Science/Urban Planning/Data Science/Public Health or related

Tools

AI/ML methods

GIS/Spatial analytics

Jobbeschreibung

Postdoctoral Fellow in Transport, Urban Environment and Spatial Data Science (Ref. No. 537709)

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 11thglobally in the QS rankings.

Qualifications and Requirements

• 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

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

Methods and Technical Expertise

• 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

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

  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 [e-mail] .

  Advertised: Oct 21, 2026 (HK Time)

  Applications close: Nov 30, 2026 (HK Time)