Transport Research Centre @ NTU (TRC@NTU) is a research centre in collaboration between Land Transport Authority of Singapore (LTA) and Nanyang Technological University (NTU). The key objective is to support efforts to conduct mobility research for paving the way for Singapore's future land transport system.

Key Job purpose

Research into application of classical flow theories in modelling a heterogeneous mix of human-driven vehicles (HVs) and connected & autonomous vehicles (CAVs). Scope covers analytical modelling, large-scale simulation, and data-driven analysis, and quantify how platoon intensity, coordination protocols, and V2V communication influence congestion, throughput, and network resilience. Insights shall be distilled into clear, evidence-based recommendations to guide Singapore's transition toward a safer, more efficient, and sustainable mixed-traffic future.

Key Responsibilities:

• Extend and adapt classical traffic-flow frameworks to embed CAV cooperative control, V2V communication, and platoon formation within mixed HV-CAV environments.
• Design and execute large-scale simulations in Python/MATLAB using SUMO or Vissim; build automated pipelines for parameter sweeps and model calibration.
• Deploy YOLOv8 + DeepSORT on UAV/CCTV video feeds to extract real-world vehicle trajectories; use these datasets to validate and refine your mixed-traffic models.
• Quantitatively assess how platoon intensity and coordination protocols affect congestion, throughput, and safety; translate findings into high-impact publications, policy briefs, and student mentorship.
• Publish technical findings in top-tier journals.

Job Requirements:

• Master in Transportation Engineering, Computer Science, or a related field.
• Proficient in Python/MATLAB and experienced with traffic simulators (SUMO/VISSIM).
• Peer-reviewed publications in CAV/traffic modelling, computer vision, or reinforcement learning.
• Hands-on with YOLOv8 + DeepSORT and RL platforms (e.g., FLOW) for traffic control.
• Excellent English communication - essential for data analysis and communication with stakeholders
• Strong teamwork under deadlines; grant writing experience is a plus.

We regret to inform that only shortlisted candidates will be notified.