新加坡－麻省理工学院学术联盟行为建模博士后职位招聘

Job Description

Project Overview

Within the project titled “Studying Autonomous Vehicles Policies with Urban Planning in Singapore”, we aim to evaluate the feasibility of autonomous vehicle (AV) policies and investigate their land and transport implications. This project focuses on the deployment of AVs in both greenfield and infill/brownfield areas in Singapore as well as the development of suitable urban design and AV operation schemes. 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 mobility demands, infrastructure changes, and evolving transportation options on the deployment and delivery of people, firms, services and freight. This particular Postdoctoral Associate will focus on the behavioural modelling and the computationally efficient simulation of combined land use and transport implications for different AV scenarios.

Responsibilities

The Future Urban Mobility Interdisciplinary Research Group is currently seeking a postdoctoral associate, based at the SMART Centre in Singapore. The job scope is as follows:

• Analyze and handle big data sets generated from advance technologies such as smart phones, smart cards in the context of different mobility options. 
• Participate in the modelling design process and in the implementation of the designed framework within the SimMobility simulation platform. 
• Explore new methods, procedure and algorithms to postulate model specifications and estimation of advance models. 
• Monitor the progress of the project, supervision of PhD Student, regularly meet with PIs and disseminate new findings in journals/conferences.

Requirements

The candidate should have the following:

• PhD in transportation modelling, econometrics, or a related field. 
• Knowledge of urban economics, discrete choice models, econometrics and/or integrated modeling is also expected. 
• Knowledge/past experience in public transportation research and modelling is a preferential requirement. 
• Possess experience with programming in scientific languages (e.g. Python, R, Matlab, Julia) 
• Good command of written and spoken English.

The postdoctoral associate will work with an integrated team of faculty, researchers and students from SMART, MIT and Singapore partners, namely: Dr. Le Thi Diem Trinh (SMART), Prof. Christopher Zegras (MIT), Prof. Joseph Ferreira (MIT) and Prof. Moshe Ben-Akiva (MIT).

To apply, please visit our website at: https://smart.mit.edu/careers/career-opportunities . 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 website. We regret that only shortlisted candidates will be notified.