Urban Analytics Research Engineer — Mobility & Behavior

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore (NUS) invites applications for a Research Engineer/Assistant to contribute to the CA-ACM project within NUS Cities. You will work on data science and modelling tasks at the intersection of urban planning, governance, and strategic insight.

The role focuses on translating behavioural theory into data-driven tools. Applicants should have strong Python skills, ML library experience, and a background in geospatial analysis.

Qualifications

• Degree in CS/Data Science/Urban Analytics/Geoinformatics/Geography or related field.
• Proficiency in Python and ML libraries (scikit-learn, PyTorch, TensorFlow).
• Strong grounding in statistics and applied mathematics.
• Experience with spatiotemporal data or geospatial analysis is a plus.

Responsibilities

• Build and iterate ML models for activity sequences and mobility patterns.
• Process, label, and visualize spatiotemporal datasets using Python and GIS tools.
• Develop software components to support archetype classification and behavioural simulation.
• Prepare research outputs and present findings to diverse audiences.

Skills

Python

ML libraries

Geospatial analysis

Data science

Communication

Education

Bachelor's or Master's in CS/Data Science/Urban Analytics/Geoinformatics/Geography

Tools

QGIS

GeoPandas

PostGIS

Job description

The National University of Singapore (NUS) invites applications for a Research Engineer/Assistant to contribute to the CA-ACM project within NUS Cities. You will work on data science and modelling tasks at the intersection of urban planning, governance, and strategic insight.

The role focuses on translating behavioural theory into data-driven tools. Applicants should have strong Python skills, ML library experience, and a background in geospatial analysis.