Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.…
Currently pursuing a Bachelor’s or Master’s degree in Mechatronics, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.…
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Up-to-date knowledge in generative models, vision and language modeling, and ML frameworks. Work together with some of the best in the field to tackle……
A 4 year degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field. As a Software Engineer in the Perception team, you……
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Proficiency in at least one scripting or programming language (C#, Python, or JavaScript/TypeScript preferred). Integrate automated tests into CI/CD pipelines.…
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Research Assistant (Urban Analytics & Computational Design)
Singapore
Job Description
Research Assistant (Urban Analytics & Computational Design)
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).