Urban Analytics Research Engineer: Mobility Data

United States Digital Space LLC; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

NUS Cities is seeking a Research Engineer/Assistant to contribute to data science and modelling for the CA-ACM project at Kent Ridge campus. You will work with a multi-disciplinary team spanning urban planning, health, and data science to transform urban behavior theory into data-driven tools.

The role emphasizes hands-on ML development, spatiotemporal data processing with Python and GIS, and producing dashboards, reports, and manuscripts for diverse audiences.

Qualifications

• Master’s or Bachelor’s in a related field.
• Proficiency in Python and ML libraries (scikit-learn, PyTorch/TensorFlow).
• Solid grounding in statistics, probability, and applied mathematics.
• Experience with spatiotemporal data or geospatial analysis is a plus.
• Clear written and verbal communication skills.
• Preferred: Experience with LLM/AI applications, stakeholder-facing work, or research project coordination.

Responsibilities

• Collaborate with the Quantitative Research Fellow to advance data science and modelling components of the CA-ACM project.
• Build and iterate on machine learning models and quantitative methods for activity sequences and mobility patterns.
• Process, label, and visualise spatiotemporal datasets using Python and GIS tools.
• Develop software components using object-oriented programming to support archetype classification, behavioural simulation, and intervention testing.
• Prepare research outputs such as reports, visualisations, dashboards, and academic manuscripts.

Skills

Python programming

Machine learning

GIS/data visualization

Statistics & math

Communication skills

Education

Master's or Bachelor's in Computer Science, Data Science, Urban Analytics, Geoinformatics, Geography

Tools

QGIS

GeoPandas

PostGIS

Scikit-learn

PyTorch/TensorFlow

Job description

NUS Cities is seeking a Research Engineer/Assistant to contribute to data science and modelling for the CA-ACM project at Kent Ridge campus. You will work with a multi-disciplinary team spanning urban planning, health, and data science to transform urban behavior theory into data-driven tools.

The role emphasizes hands-on ML development, spatiotemporal data processing with Python and GIS, and producing dashboards, reports, and manuscripts for diverse audiences.