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Singapore Institute of Technology

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Postdoctoral Position in Travel Behavior and Demand Modeling Singapore-ETH Centre in Singapore

Degree Level

Postdoc

Field of study

Computer Science

Funding

Remuneration is provided and will be commensurate with the candidate's qualifications and relevant experience. The fixed-term position includes 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and flexible hybrid work arrangements of up to two days per week from home.

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Country

Singapore

University

Singapore Institute of Technology

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Keywords

Computer Science
Urban Planning
Civil Engineering
Population Synthesis
Traffic Flow Theory
Travel Behavior
Sustainable Cities
Statistics
Large Language Models
Tranport Planning

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About this position

The Singapore-ETH Centre’s Future Cities Lab Global, in collaboration with the National University of Singapore, is seeking a postdoctoral researcher in Travel Behavior and Demand Modeling. The project is based at the Singapore-ETH Centre in Singapore and connects academic research with the operational needs of the Land Transport Authority of Singapore.

The research will translate methods for fusing household travel survey data with passively collected mobility data, such as transit smart-card records, into transport-demand-modelling workflows. The work will examine whether models estimated from fused, population-scale activity plans can reproduce the behavioral relationships and planning conclusions currently derived from household travel surveys.

The postdoctoral researcher will estimate transport models and planning indicators covering areas such as trip generation, destination choice, travel-mode choice, and departure-time choice. The project will compare model parameters, elasticities, goodness of fit, and policy conclusions across complete survey data and fused population activity plans. It will also investigate how reducing survey sample sizes affects downstream applications and identify where mobility-data fusion can offset the loss of survey observations.

A further component involves extending a lightweight, open-source, large language model-based population-synthesis method to generate sequential travel diaries and synthetic activity schedules at urban scale. These synthetic diaries will be evaluated for their ability to supplement reduced survey samples in behavioral modelling.

The researcher will work daily with principal investigator Assistant Professor Prateek Bansal of the National University of Singapore, who leads research on data fusion and generative modelling. The role also involves close technical collaboration with the Land Transport Authority’s modelling and survey-design staff, including capability transfer so that the agency can independently rerun the analyses.

The Singapore-ETH Centre provides a multicultural and interdisciplinary research environment focused on sustainable and liveable cities, resilient urban systems, and health technologies, with collaboration across universities, research institutes, government agencies, and industry.

Funding details

Remuneration is provided and will be commensurate with the candidate's qualifications and relevant experience. The fixed-term position includes 25 days of annual leave, one day of birthday leave, annual dental benefits, comprehensive healthcare insurance coverage, and flexible hybrid work arrangements of up to two days per week from home.

What's required

Applicants must hold a doctoral degree in spatial planning, transport planning, civil engineering, systems engineering, or a related field. They should have a good grasp of probability theory, optimization, deep learning, discrete choice models, activity-based travel demand modelling, and traffic assignment; methodological research experience demonstrated through publications; strong programming skills in Java, Python and/or R; experience with GIS tools; and proficiency in written and spoken English. The application must include a first-author publication proposing a novel method and demonstrating its superiority, a CV with publication list and contact information for at least two referees, and grade records for all university courses and diplomas.

How to apply

Submit the required documents through the online application portal: a first-author methodological publication, CV with publications and at least two referees' contact details, and university grade records and diplomas. Applications are accepted exclusively online; email and postal applications are not considered.

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