Research Assistant (Urban Analytics & Computational Design)

National University of Singapore; Singapore; On-site; SGD 42,000 - 60,000; Full time

Job summary

National University of Singapore is seeking a Research Assistant in Urban Analytics & Computational Design at Kent Ridge Campus. The role focuses on quantifying the built and natural environment using GIS, field audits with portable sensors, and data-driven modeling to inform policy and practice.

Applicants should have a strong programming background (Python, MATLAB, R, C++) and experience with CAD/geospatial tools (QGIS, ENVI, Rhino3D).

Qualifications

• Bachelor’s degree in Urban Science/Analytics or closely related field.
• Proven proficiency in Python, MATLAB, R, and C++.
• Experience with CAD or geospatial analysis software (QGIS, ENVI) and 3D modeling tools (Rhino3D, Rhino/Grasshopper).
• Portfolio in data visualization, UI/UX, and Adobe Creative Suite favored.

Responsibilities

• Quantify the built and natural environment using GIS and spatial network analyses.
• Conduct fieldwork and data collection with portable sensors in selected precincts.
• Analyze large-scale spatial data with scripting languages and integrate environmental metrics with health outcomes.
• Publish findings in peer-reviewed journals and present at conferences.
• Prepare policy briefs, reports, and outreach materials for stakeholders.
• Coordinate with project partners and organize meetings and workshops.

Skills

Python

MATLAB

R

C++

Education

Bachelor’s degree in Urban Science/Analytics

Tools

QGIS

ENVI

Rhino3D

Rhino/Grasshopper

Job description

Job Title: Research Assistant (Urban Analytics & Computational Design)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: The Built Environment

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 17/08/2026

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).

Req ID: 32220