Postdoctoral Associate– Real-Time Transportation System Management (DynaMIT2.0) 　　新加坡-麻省理工大学研究与技术联盟(智能)中心实时交通系统管理方向博士后研究员

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

　　Job Number:

　　Date Posted: May 28, 2018

　　Application Deadline: Jun 27, 2018

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

　　Location: Singapore, Singapore

　　Job Number: 7051585 (Ref #: IRG_FM_2018_017)

　　Posting Date: May 28, 2018

　　Application Deadline: Jun 27, 2018

　　Job Description

　　Project Overview

　　DynaMIT 2.0 is a multi-modal multi-data source driven, simulation-based short-term traffic prediction and network control system developed by SMART-FM. The system contains a collection of data modules and algorithms including coupled demand and supply simulators that estimate and predict network states in real-time. Ongoing and future work includes 1) the development of behavioural and supply models to simulate public transit, mobility-on-demand services such as Uber/Grab, car and bicycle sharing, personal mobility devices, etc.; 2) Development of scalable online calibration methodologies using heterogeneous data sources including data from telecom, smartcards, probe vehicles, etc.; 3) context mining and the scenario analyzer for unstructured data, e.g. traffic incident reports; 4) Enhancing the strategy optimization module for real-time network control.

　　Responsibilities

　　The FM IRG is currently seeking to employ a Postdoctoral Associate, based at the SMART Centre in Singapore, to work on these components of our projects.

　　The job scope is as follows:

　　• Lead the development of the supply simulator with particular attention to the incorporation of public transit and other modes into DynaMIT2.0

　　• Lead the design of the behavioural models;

　　• Implement and validate these new models in the context of DynaMIT2.0, as a modeller and potentially also as code developer;

　　• Advance research in these and related areas.

　　Requirements

　　The candidate should have the following:

　　• PhD in Transportation Engineering/Simulation/dynamic traffic assignment and strong background in Computer Science or related;

　　• Excellent skills in network modelling/transportation engineering/simulation/dynamic traffic assignment

　　• Experience in programming and computer engineering

　　• Experience with simulation, transport modeling and network representation;

　　• Experience in optimization

　　• Expertise in discrete choice modeling;

　　• Good command of written and spoken English

　　Candidate with an experience in any of the following will have an advantage:

　　• Experience with working with real-time systems is optional but valuable;

　　• Large scale (e.g. entire city) transport modeling

　　• Treatment of uncertainty

　　• A good record in subjects such as simulation, statistics and mathematics is sought.

　　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 stated website. We regret that only shortlisted candidates will be notified.

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