Postdoctoral Associate – Designing Autonomous Mobility On-Demand

Reference: IRG_FM_2017_005
Date Posted: 03 February 2017
Group: Future Urban Mobility

Project OverviewWithin the new project titled “Autonomous Mobility-On-Demand systems’ impact on transportation in Singapore”, a comprehensive framework for designing and assessing the impacts on mobility of Autonomous Mobility On-Demand (AMOD) systems and applying it for the Singaporean context is being developed. In addition, AMOD targeted behavioural models will be estimated using actual behavioural data to be collected through an innovative smart-phone based technologies. To tackle the challenges of modelling AMOD, an advanced agent-based simulation framework that integrates operational and behavioural models, SimMobility, is used. The main objectives are to create an integrated platform for multiple scenario assessment, to show its full potential of for the analysis of innovative autonomous solutions and to give a further insight on the benefits and issues when implementing AMOD services in Singapore.

ResponsibilitiesThe Future Urban Mobility Interdisciplinary Research Group (FM) is currently seeking a Postdoctoral Associate, based at the SMART Centre in Singapore. The job scope are as follows:

• Simulation-based optimization of real-time (demand responsive) systems.
• Implement and test AMOD demand and supply models in the context of a mobility simulator (SimMobility) as a team leader and potentially also as code developer.
• Explore the variety of factors impacting individual mobility and multimodal network performance in the presence of different configurations of a future AMOD system in Singapore.
• Explore new methods, procedure and algorithms to postulate model specifications and estimation of advance models.
• Co-authoring articles for publication in top-tier, peer-reviewed journals and conferences.
• Monitor the progress of the project, supervision of student, regularly meet with PIs and disseminate new findings in journals/conferences.

RequirementsThe candidate should possess the following:

• PhD in Optimization Research, Networks, Transportation Systems or Computer Science.
• Experience with simulation-based optimization of Transportation Systems.
• Excellent academic standing.
• Experience with programming in scientific languages (e.g. Python, R, Matlab, Octave, Julia).
• Positive work attitude, good communication and interpersonal skills and an ability to work independently and in multi-disciplinary teams.

Candidate with any of the following will have an advantage:

• Familiarity with automated/connected vehicle technologies.
• Experience in optimizing shared-mobility services.
• Familiarity with demand estimation research topics, such as demand modelling, travel surveys, vehicle motion simulation or energy estimation.
• Large scale (e.g. entire city) transport simulation.
• Knowledge about C++ or any other Object Oriented Programming language.

The position will be based at the SMART FM Offices on the new campus of the National University of Singapore (NUS), with the possibility of traveling to MIT (up to a few months) as part of the international collaboration. The Postdoctoral Associate will work with an integrated team of faculty, researchers and students from MIT and Singaporean University partners, including: Dr. Ravi Seshadri (SMART), Prof. Moshe Ben-Akiva (MIT) and Prof. Jinhua Zhao (MIT).

Interested applicants will have to submit 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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