jobs in National University Of Singapore

National University Of Singapore Hiring! Full Time Research Assistant (Urban Analytics - Computational Design) in Central Region (Singapore) - Ricebowl

Research Assistant (Urban Analytics - Computational Design)

National University Of Singapore

Undisclosed

Full Time

Queenstown, Central Region (Singapore)

Share
Save

Working Location

  • Queenstown Central Region (Singapore) Singapore

Job Description

Responsibilities

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).

Important Information

Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.

Learn More