Postdoctorate Associate (Ref: IRG_FM_2019_016)

Singapore-MIT Alliance for Research and Technology (SMART) Centre

Singapore, Singapore

ID: 7058103 (Ref.No. IRG_FM_2019_016)
Posted: June 20, 2019
Application Deadline: July 19, 2019

Job Description

Project Overview

The Future Mobility Management is a research project in SMART FM Phase 2, which combines emerging transportation technology, behavioural science, operational research, data analytics, and algorithmic analysis to develop a future urban mobility system for Singapore that integrates public transit, walking and bicycling, shared mobility and autonomous vehicles. Current phase of the project focuses on demand preference formation and shaping, integrated transit system design, physiological emotional reactions, and social mobility sharing. The project is led by Prof. Jinhua Zhao at MIT. Please see for his general research interest.


We are seeking a Postdoctoral Associate who will be involved in the mobility management project. The project consists of the following topics:

• Comparison of mobility sharing preference across cultures;
• Quantification of the trade-off between efficiency and preference for social interaction in mobility sharing;
• Incorporating time flexibility and social interaction preference in the mobility sharing system design.

The specific tasks include:

• Develop stated preference surveys focusing on people’s preference for mobility sharing services, and preference for fellow passengers;
• Use behavioural and statistical models to understand the contributing factors of the mode choice, inter-passenger relationship, and adoption rates of shared mobility;
• Use operational research models to formulate and solve the tradeoff between efficiency and preference in mobility sharing optimization problems, and explore social interpretation of the formulation;
• Develop a new mathematical framework to understand the behavioural and operational role of time flexibility in people’s mode and departure time choices.

The postdoc will work with team members from SMART and from MIT, publish in journals and/or conferences, and co-supervise doctoral and master students. The project comprises teams from both MIT and SMART in collaboration with several international research and industry partners. This position will be based at the SMART Centre in Singapore.


• Ph.D. degree in Transportation, Urban Planning, Computer Science, Mathematics, Applied Physics, Operational Research, Economics, or other relevant disciplines;
• Skills of transport demand modelling, optimization models, machine learning, econometric modelling, and/or spatial analysis are expected; Knowledge of differential equations and dynamic systems is a plus.
• Strong programming skills with one or more major programming languages, e.g., C/C++, MATLAB, Python, R, etc.; Knowledge of algorithm analysis is a plus.
• Knowledge of high-performance computing clusters;
• Knowledge in simulation (e.g. agent-based, microsimulation), data mining, and/or GIS;
• Self-motivated with ability to work both independently and in a team;
• Good command of written and spoken English

To apply, please visit our open positions website at: Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.


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