Nanyang Technological University
ResearchFellow(TransportationEngineering)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Fellow (Transportation Engineering) at Nanyang Technological University. Skills: AI-assisted analytics, Machine learning models, GIS-enabled platform. Integrate multi-source datasets. Manage multi-source datasets”
Industry & Context.
Risk identification
What They're Looking For.
Must Have
PhD degree, data analytics expertise, computer programming expertise, traffic safety knowledge, urban transportation studies knowledge, traffic flow theory knowledge, operation research knowledge, Proficiency in English
What You'll Do.
Integrate multi-source datasets
Manage multi-source datasets
Design simulation experiments
Conduct simulation experiments
Evaluate safety interventions
Quantify intervention impacts
Translate analytical outputs
Develop decision-support tools
Contribute to GIS platform
Prepare technical reports
Prepare research publications
Prepare project documentation
How You'll Work.
Communication Scope
Stakeholder communication
Full Job Description
The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Research Fellow will contribute to the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform. **Key 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. **Job Requirements:** * 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 * Proficiency in English - essential for data analysis and commun
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