AI-Driven Road Safety Analytics Fellow

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

The School of Civil and Environmental Engineering at NTU Singapore is seeking a Research Fellow to advance an AI-assisted, data-driven road safety analytics framework. You will integrate multi-source transport data, build ML models, and support GIS-based decision support for policy insights.

Applicants should hold a PhD in transportation engineering or related field, with strong data analytics, programming skills, and knowledge of traffic safety and urban transportation studies.

Qualifications

• PhD degree in transportation engineering or related field.
• Expertise in data analytics and computer programming.
• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research.
• Strong written and verbal communication skills.

Responsibilities

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.
• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.
• Translate analytical outputs into actionable insights and decision-support tools for road safety management.
• Contribute to the development of a GIS-based platform for visualization, monitoring, and policy support.
• Prepare technical reports, research publications, and project documentation.

Skills

Data analytics

Programming

GIS

Communication

Machine learning

Education

PhD in transportation engineering

Tools

Python

R

SQL

GIS software

Job description

The School of Civil and Environmental Engineering at NTU Singapore is seeking a Research Fellow to advance an AI-assisted, data-driven road safety analytics framework. You will integrate multi-source transport data, build ML models, and support GIS-based decision support for policy insights.

Applicants should hold a PhD in transportation engineering or related field, with strong data analytics, programming skills, and knowledge of traffic safety and urban transportation studies.