Publisher
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National University of Singapore

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Research Fellow in Data Fusion of Survey and Passive Travel Data National University of Singapore in Singapore

Degree Level

Postdoc

Field of study

Psychology

Funding

Available

Country flag

Country

Singapore

University

National University of Singapore

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Keywords

Psychology
Data Fusion
Civil Engineering
Python Programming
Travel Behavior
Economics
Statistics
Choice Experiment

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About this position

Research Fellow (Data Fusion) at the National University of Singapore, College of Design and Engineering, Department of Civil and Environmental Engineering. The position is based at the Kent Ridge Campus in Singapore and is part of Dr Prateek Bansal’s research group.

The Research Fellow will develop approaches to fuse survey data with passively collected data, such as smart card data. Responsibilities include designing survey instruments, collecting data, and validating new approaches using open-source datasets. The work covers travel behaviour, transportation research, discrete choice experiments, econometric model estimation, optimization methods, and data-driven modelling.

Applicants must hold a PhD in Travel Behaviour, Management, Economics, Statistics, Psychology, or a related discipline. Strong applicants will understand discrete choice experiments and model estimation, have experience with optimization methods, and be able to program econometric models in R, Python, or MATLAB. Good written and verbal communication skills are expected; candidates without prior experience are welcome to apply.

The successful candidate will conduct independent and collaborative research, contribute to grant proposals, and participate in supervising doctoral and postgraduate research students. The appointment is offered on a fixed-term contract. Applications should be submitted through the NUS careers portal for Req ID 34586.

Funding details

Available

What's required

Applicants must possess a PhD in Travel Behaviour, Management, Economics, Statistics, Psychology, or a related discipline. They should understand discrete choice experiments and model estimation, have a strong background in optimization methods, and be proficient in programming econometric models in R, Python, or MATLAB. Good written and verbal communication skills are required. Candidates without prior experience are welcome to apply. The successful applicant must be willing to conduct independent and collaborative research, contribute to grant proposals, supervise doctoral or postgraduate research students, and work under a fixed-term contract.

How to apply

Apply through the National University of Singapore careers portal using the “Apply now” option for Req ID 34586. Review the full job description and submit the requested application materials through the portal.

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