【简介】博士后招聘网整理分享“2018年新加坡麻省理工学院研究与技术联盟（SMART）中心招聘博士后（交通工程/仿真/动态交通分配与计算机科学）”，浏览查询更多博士后招聘计划请访问博士后招聘网。

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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