Postdoctoral Associate - Modelling and Modelling Framework/Design

A key research project ongoing at the Singapore-MIT Alliance for Research and Technology (SMART) in Singapore is researching next-generation data collection and analysis as well as modelling freight movements and policies for urban freight and city logistics operations. Part of our research agenda involves the development of the SimMobility simulation framework that integrates and links together various mobility-sensitive behavioral models with state of-the-art simulators to predict impacts of freight in the overall transportation system. The project comprises of teams from both MIT, SMART, SUTD and local agencies in collaboration with several international research and industry partners.

Responsibilities

The job scope are as follow:

• Design and implement the agent-based urban freight behavioral models, covering all relevant agents and their mutual interactions along supply chains.
• Make use of innovative data sets for freight model estimation.
• Work with other researchers and software engineers to integrate the above models in the existing modelling and software development effort.
• Supervise PhD students and other junior team members.
• Monitor the progress of the project, regularly meet with PIs.
• Scientific dissemination of new findings in journals/conferences.

Requirements

In particular, we seek a candidate with the following skills:

• Ph.D. in Transportation, Freight, Logistics, Civil Engineering, Systems Engineering, or other related field.
• Good working knowledge of Transportation Network/Demand Modeling, Freight / Logistics / Supply Chain Modeling
• Proven experience of working with real-world data and real-world systems.
• Excellent command of written English and oral presentation skills.
• Independent and self-motivated, yet able to work as part of a multidisciplinary team.
• Demonstrated ability to effectively manage concurrent technical tasks with competing priorities.
• Proficient verbal and written communication skills

Preference will be given to candidates with:

• Knowledge in discrete choice modelling and/or agent-based simulation.
• Knowledge of C++, LUA, Python.
• Survey/Data collection experience, particularly in large-scale settings.

The position will be based at the SMART FM Office on the campus of the National University of Singapore (NUS). The Postdoctoral Associate will work with an integrated team of faculty, researchers and students from SMART, MIT and Singapore partners; Dr. André Romano Alho (SMART), Prof. Lynette Cheah (SUTD), Prof. Christopher Zegras (MIT) and Prof. Moshe Ben-Akiva (MIT).
 
To apply, please visit our open positions website.

Interested applicants will have to submit their full CV/resume, cover letter and list of three references (to include reference names and contact information) via the stated website. We regret that only shortlisted candidates will be notified.