Research Scientist

• PhD in Urban Informatics, Urban Analytics, and related fields.
• Have a 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 dataset and the related spatial temporal data.

The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.

The Research Scientist will work closely with the PI and Co-PIs to execute the project. The job scope involves:

• Build the Mobility Knowledge graph. Pull together Singapore Mobility data into a structured knowledge graph of how the city moves.
• Model shocks and demand on top of it. Use the graph to analyze and predict travel demand under different shocks and disruptions.
• Train AI based transportation model, prepare future research papers and grant proposals.
• Other duties as assigned.

• PhD in Urban Informatics, Urban Analytics, and related fields.
• Have a 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 dataset and the related spatial temporal data.