Research Assistant (Urban Analytics & Computational Design)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National University of Singapore invites applications for a research role in Geospatial & Environmental Analytics. The position focuses on quantifying the built and natural environment using GIS and field audits with portable sensors across precincts.

You will analyze data with Python, MATLAB, and R; work with CAD/geospatial tools (QGIS, ENVI, Rhino/Grasshopper); and publish findings in journals and conferences, contributing to policy briefs for stakeholders.

Qualifications

• Bachelor’s degree in Urban Science/Analytics or related field.
• Proficiency in Python, MATLAB, R, and C++.
• Experience with CAD or geospatial tools (QGIS, ENVI).
• Familiarity with 3D modeling Rhino3D and Rhino/Grasshopper.
• Portfolio in data visualization and digital media using Adobe Creative Suite.

Responsibilities

• Quantify the built and natural environment using GIS and spatial analyses.
• Conduct on-site microclimate and visual environment audits with portable sensors.
• Analyze large-scale spatial data with scripting languages (Python, MATLAB, R).
• Publish findings in peer-reviewed journals and present at conferences.
• Contribute to policy briefs, technical reports, and outreach materials.
• Coordinate with project partners, government agencies, and stakeholders.

Skills

Geospatial analysis

Data visualization

UI/UX design

Python

MATLAB

R

C++

Education

Urban Science/Analytics

Tools

QGIS

ENVI

Rhino3D

Grasshopper

Adobe Creative Suite

Job description

We regret that only shortlisted candidates will be notified.

Job Description

• Geospatial & Environmental Analytics:Assist in quantifying the built and natural environment using Geographic Information Systems (GIS) and spatial network analyses. Process complex datasets related to urban morphology, microclimate, and social infrastructure.
• Fieldwork & Data Collection:Conduct on-site microclimate and visual environment audits using portable sensors across selected HDB precincts.
• Data Processing & Modeling:Utilize scripting languages (Python, MATLAB, R) to analyze large-scale spatial data, integrating environmental metrics with developmental health outcomes
• Research & Dissemination:Publish findings in high-impact peer-reviewed journals and present at international conferences.
• Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders.
• Stakeholder Engagement & Coordination:Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.

Qualifications

Essential:

• Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.
• Proven proficiency in computational programming and data analysis (Python, MATLAB, R, C++).
• Demonstrated experience with CAD or geospatial analysis software (e.g., QGIS, ENVI). Familiarity with 3D computational modeling tools (e.g., Rhino3D) and the ability to adapt to parametric design software (e.g., Rhino/Grasshopper).
• Strong portfolio or proven experience in data visualization, UI/UX design, and digital media utilizing the Adobe Creative Suite (Illustrator, Photoshop, After Effects).