corporate_fare
National University of Singapore
verifiedVerified ListingResearch Assistant (Urban Analytics & Computational Design)
location_onSingapore (On-site)
schedulePosted today
workFull time
bar_chartMid
3DCADData AnalysisData VisualizationENVIGeographic Information SystemsGeospatialGeospatial AnalysisGISGIS Data ModelingPythonQGISRScriptingSpatial DataUAV Data Processing
About the Role
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.
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**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).
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Req ID: 32220
domain
National University of Singapore
Leading-edge innovations and technical excellence in the geospatial domain.