Research Scientist - Urban Mobility AI & Knowledge Graph

Times Higher Education; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Singapore Management University (SMU) invites applications for a Research Scientist at the SMU Urban Institute. This role supports interdisciplinary research focused on Asian cities, leveraging data-rich mobility studies in Singapore and beyond.

The Research Scientist will work closely with the PI and Co-PIs to execute projects, building the mobility knowledge graph, modeling shocks and demand, and training AI-based transportation models for scholarly papers and grant proposals.

Qualifications

• PhD in Urban Informatics, Urban Analytics, or related fields.
• Deep knowledge of urban mobility systems and knowledge-graph methods.
• Strong Python programming and data analysis skills.
• Good knowledge of machine learning and its application in urban transportation systems.
• Familiar with large-scale transportation datasets and related spatial-temporal data.

Responsibilities

• Build the Mobility Knowledge graph by pulling together Singapore mobility data into a structured knowledge graph.
• Model shocks and demand on top of the graph to analyze and predict travel demand under different shocks and disruptions.
• Train AI-based transportation models and prepare future research papers and grant proposals.
• Other duties as assigned by PI/Co-PIs.

Skills

PhD in Urban Informatics

Urban mobility systems

Python programming

Machine learning

Knowledge-graph methods

Education

PhD in Urban Informatics or Urban Analytics

Tools

Knowledge-graph tools

Job description

Singapore Management University (SMU) invites applications for a Research Scientist at the SMU Urban Institute. This role supports interdisciplinary research focused on Asian cities, leveraging data-rich mobility studies in Singapore and beyond.

The Research Scientist will work closely with the PI and Co-PIs to execute projects, building the mobility knowledge graph, modeling shocks and demand, and training AI-based transportation models for scholarly papers and grant proposals.