corporate_fare
National University of Singapore
verifiedVerified ListingResearch Assistant (GIS, ES & LCA)
location_onSingapore (Hybrid)
schedulePosted 10 days ago
workFull time
bar_chartMid
Data AnalysisEnvironmental AssessmentEnvironmental ModellingGeospatialGeospatial AnalysisGISSpatial DataSpatial Data Infrastructure
About the Role
Company description
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job description
Job Description
We are seeking a Research Assistant to work on ecosystem service (ES), geospatial analytics, GIS and map-based tool development.
The Research Assistant will focus on developing assessment methods by integrating ecosystem service assessment, life cycle assessment and geospatial analysis, and develop a map-based tool to support decision-making for climate adaptation and resilient coastal infrastructure.
Job Requirements The candidate should have a Bachelor's degree and background in the following areas:
Development of ecosystem service assessment and environmental assessment methods for hard engineering, hybrid, and nature-based coastal protection solutions.
Development of methods to integrate LCA, ecosystem service assessment, and cost-benefit analysis through common spatial temporal frameworks.
Development of GIS-based spatial analysis and decision-support tools for infrastructure and coastal protection measures.
Relevant experience in one or more of the following areas would be advantageous: environmental modelling; environmental impact assessment; GIS or spatial data analysis; ability to code and develop map based tools.
Candidates should demonstrate analytical skills, research potential, and the willingness to work across disciplines. The successful candidate will work with other researchers and students at National University of Singapore.
Interested applicants are invited to submit their CV and selected publications, if available, to Assistant Professor Vincent Gan at [email protected] (mailto:[email protected]) before 15 September 2026. Shortlisted candidates will be contacted for further discussion.
domain
National University of Singapore
Leading-edge innovations and technical excellence in the geospatial domain.