Research Engineer, Traffic Signal Control

11 Jan 2022
End of advertisement period
10 Feb 2022
Contract Type
Full Time

Job Description

This position involves working on a project related to traffic signal control at multiple intersections. The objective of this position includes contributing to the model development, solution and implementation of robust traffic signal control of the intersections using machine learning methods. The role involves the opportunity to work with the research team within National University of Singapore in which the team leaders are from the Department of Industrial Systems Engineering & Management, the Department of Mechanical Engineering, and Specialists from a high technology company. The successful candidate will be self-motivated with an outstanding track record in computer science, machine learning (in particular, reinforcement learning), or transportation and related disciplines.

The main research tasks for the project include but will not be limited to:

  • Developing robust centralized and decentralized controllers for traffic signals, based on local sensing at the junction and communication among neighbouring junctions.
  • Developing models that can optimize traffic flow, decrease wait time, but also improve pedestrian throughput throughout the system.
  • Testing and optimizing the scalability of the devised controllers in city-wide simulation scenarios involving both vehicles and pedestrians, using a microscopic simulation software such as SUMO or VISSIM.
  • Designing and implementing controllers on hardware to obtain a laboratory-level prototype system.


  • BEng/BSc/MEng/MSc in Operations Research, Computer Science, Engineering ,Transportation, or related disciplines.
  • Experience in developing/applying data-driven models in transportation or big-data related projects.
  • Proficiency with GNU/Linux, Python/C++ and at least one of the main machine learning libraries (e.g., tensorflow, keras, pytorch, CAFFE).
  • Excellent interpersonal and communication skills.
  • Good teamwork abilities, self-motivation and self-reflection.
  • Proficiency in English language

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department: Mechanical Engineering
Employee Referral Eligible: No

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