SUTD-MIT Postdoctoral Program

SUTD and MIT jointly offer a two-year postdoctoral program offering a unique opportunity for highly qualified individuals to engage in the exciting research programs at MIT and SUTD. Participants will spend one year at MIT and one year at SUTD working on a joint research project. Additional details can be found on the program page.

If you are interested in this program contact member of the ESD faculty to determine if there is a potential fit with their research and this program.

ESD Research Opportunities

Project Overview

In our Urban Freight study, the team is providing next-generation data collection, modeling and solutions for urban freight and city logistics. Research activities include the development and application of:

  • An integrated framework for urban freight data collection, based on sensing/surveying capabilities to enable future modeling and policy-making in urban freight systems. The primary objective is to develop proof-of-concept of a coherent, scalable and holistic collection of all freight data (production, logistics, transport), with the aim of tracking vehicles and shipments, as well as for surveying relevant freight agents, leveraging state-of-the-art sensing technologies and approaches to obtain an unprecedented level of urban freight data.
  • Innovative agent-based urban freight behavioral models, covering all relevant agents, their mutual interactions along supply chains and their relationship with the individual choices and land use patterns. Freight models are fully integrated within SimMobility, a state-of-the-art, multi-scale agent-based passenger simulation model already developed at the Singapore-MIT Alliance for Research and Technology (SMART) that considers land-use, transportation and communication networks along with individual choices and decisions at different levels of resolution.

Collaborating entities include the Massachusetts Institute of Technology (Cambridge, MA, USA) and local authorities in Singapore – including the Urban Redevelopment Authority (URA), Land Transport Authority (LTA). The research team is led by Prof. Lynette Cheah from SUTD, Prof. Moshe Ben-Akiva and Prof. Chris Zegras from MIT, and Dr. Fang Zhao from SMART.

Responsibilities

  • Design and implement the agent-based urban freight behavioral models within the SimMobility simulation platform.
  • Gather existing data and coordinate efforts with the data collection team for the creation 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

We seek an outstanding, motivated, experienced and proactive candidate, who is able to show a proven excellence record in research and is ready to thrive in a dynamic, multicultural and multidisciplinary team. In particular, we seek a person with the following skills:

  • Degree in Transportation, Freight, Logistics, Mathematics, Civil Engineering, Systems Engineering, or a relevant area.
  • Good working knowledge of Transportation Network Modeling, Freight and Logistics Modeling.
  • Knowledge in discrete choice modelling and/or agent-based simulation is preferred.
  • Proven experience of working with real world data and real world systems.
  • Excellent command of written English and oral presentation skills.
  • Knowledge of C++, LUA, Python is an advantage.

Interested applicants will have to submit their full CV/resume, cover letter and list of three references (to include reference names and contact information) to Assistant Professor Lynette Cheah at lynette@sutd.edu.sg. We regret that only shortlisted candidates will be notified.

Project Overview

In an Urban Freight study, the team is providing next-generation data collection, modeling and solutions for urban freight and city logistics. Research activities include the development and application of:

  • An integrated framework for urban freight data collection, based on sensing/surveying capabilities to enable future modeling and policy-making in urban freight systems. The primary objective is to develop proof-of-concept of a coherent, scalable and holistic collection of all freight data (production, logistics, transport), with the aim of tracking vehicles and shipments, as well as for surveying relevant freight agents, leveraging state-of-the-art sensing technologies and approaches to obtain an unprecedented level of urban freight data.
  • Innovative agent-based urban freight behavioral models, covering all relevant agents, their mutual interactions along supply chains and their relationship with the individual choices and land use patterns. Freight models are fully integrated within SimMobility, a state-of-the-art, multi-scale agent-based passenger simulation model already developed at the Singapore-MIT Alliance for Research and Technology (SMART) that considers land-use, transportation and communication networks along with individual choices and decisions at different levels of resolution.

Collaborating entities include the Massachusetts Institute of Technology (Cambridge, MA, USA) and local authorities in Singapore – including the Urban Redevelopment Authority (URA), Land Transport Authority (LTA). The research team is led by Prof. Lynette Cheah from SUTD, Prof. Moshe Ben-Akiva and Prof. Chris Zegras from MIT, and Dr. Fang Zhao from SMART.

Responsibilities

  • Developing an automated truck driver survey system that tracks vehicles with mobile sensing devices such as GPS and OBD data loggers, smartphones, tablets, complemented with raw data post-processing (map matching, backend treatment based on machine learning and GIS data). Real-time or prompted recall surveys will be employed to collect details information on each stop from the drivers.
  • Exploring new opportunities for collaborative schemes between public data collectors and private stakeholders;
  • Investigating relevant prospects for improvement in freight modeling, leveraging next-generation freight data collection;
  • Contributing to the implementation, execution and analysis of pilot truck driver surveys.
  • Coordinate the survey between SUTD/SMART, government agencies, and survey companies.
  • 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

We seek an outstanding, motivated, experienced and proactive candidate, who is able to show a proven excellence record in research and is ready to thrive in a dynamic, multicultural and multidisciplinary team. In particular, we seek a person with the following skills:

  • Degree in Transportation, Freight, Logistics, Electrical Engineering, Computer Science or a related field.
  • Experience in the development, supervision and analysis of surveys or similar data collection processes.
  • Expertise in freight and logistics modelling and GIS software preferred.
  • Proven project and research management expertise.
  • Strong analytical and programming skills an advantage.
  • Excellent command of written English and oral presentation skills.

Interested applicants will have to submit their full CV/resume, cover letter and list of three references (to include reference names and contact information) to Assistant Professor Lynette Cheah at lynette@sutd.edu.sg. We regret that only shortlisted candidates will be notified.

Description

The Singapore University of Technology and Design (SUTD) is Singapore’s fourth national university, created in collaboration with the Massachusetts Institute of Technology (MIT). The Sustainable Urban Mobility group at SUTD is currently seeking a postdoctoral researcher active in road transportation energy and emissions modeling. The postdoctoral researcher will evaluate environmental impact of urban goods movement or urban logistics. This project is in close collaboration with MIT and there will be opportunities to interact with researchers at MIT.

Responsibilities

  • Report state-of-the-art in urban freight transportation energy use and emissions modeling
  • Participate in commercial vehicle survey design and supervision
  • Supervise students and junior members of the team
  • Communicate results to sponsors
  • Prepare peer-reviewed technical manuscripts

Qualifications

  • A Ph.D. graduate in mechanical engineering, civil engineering (transportation), or related field,
  • Experience using automotive simulation platforms beneficial,
  • Experience working with real-world datasets,
  • Independent worker,
  • Excellent oral and written communication skills in English.

Salary range

We offer a competitive salary commensurate with experience, and benefits.

How to apply

Interested applicants will have to submit a cover letter, full CV, and list of three references (including contact information) to Assistant Professor Lynette Cheah at lynette@sutd.edu.sg. We regret that only shortlisted candidates will be notified.

Description

The Singapore University of Technology and Design (SUTD) is Singapore’s fourth national university, created in collaboration with the Massachusetts Institute of Technology (MIT). The Sustainable Urban Mobility group is currently seeking a Research Engineer to join a project on urban freight transportation. This project is in close collaboration with MIT and there will be opportunities to interact with researchers at MIT.

Responsibilities

  • Report state-of-the-art in urban freight survey methods
  • Design engineering solutions to track logistics vehicles and freight movements
  • Analyze and visualize various streams of freight transport data
  • Communicate results to sponsors
  • Prepare peer-reviewed technical manuscripts

Qualifications

  • A Bachelors or Masters graduate in mechanical engineering, civil engineering (transportation), software engineering, or related field,
  • Know basic programming skills,
  • Experience handling with real-world datasets,
  • Team player,
  • Excellent oral and written communication skills in English.

Salary range

We offer a competitive salary commensurate with experience, and benefits.

How to apply

Interested applicants will have to submit a cover letter, full CV, and list of three references (including contact information) to Assistant Professor Lynette Cheah at lynette@sutd.edu.sg. We regret that only shortlisted candidates will be notified.

Postdoc positions are available in the Engineering Systems and Design pillar at the Singapore University of Technology and Design.

We are looking for candidates with strong theoretical/empirical background in one or more of the following areas:

  • Markov Decision Processes and Inventory management
  • Queueing and Scheduling
  • Game theory and Mechanism design
  • Data analytics

The position is available immediately. Initial appointment will be for one year, and may be renewable based on strong performance.

Interested candidates must send their CV, relevant research papers, and reference contacts to shrutivandana@sutd.edu.sg

Postdoc positions are available in the Engineering Systems and Design pillar at the Singapore University of Technology and Design.

We are looking for candidates with strong theoretical background in one or more of the following areas:

  • Algorithm Game theory and Mechanism design
  • Learning in Games
  • Dynamical Systems
  • Markov Chains

Successful applicants will have the opportunity to collaborate with Christos Papadimitriou from UC Berkeley, who is a co-investigator in this grant.

The positions are available immediately. Initial appointment will be for two years, and may be renewable based on availability of funds.

Interested candidates must send their CV, relevant research papers, and reference contacts to georgios@sutd.edu.sg.