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Research Assistant (Urban Analytics & Computational Design)

National University of Singapore

unknownPosted Mar 25, 2026
Posting intelligenceMay be filled, listed long agoReposted 25×, possible evergreen/ghost posting

Skills

illustratorphotoshoppythonc++

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: 25/03/2026

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).

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