Research Associate (GIS & Spatial Analytics)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking candidates for a project in the School of Civil and Environmental Engineering focused on community resilience against sea-level rise. Responsibilities include GIS mapping, spatial vulnerability analysis, and contributing to academic publications.

The ideal candidate holds a Master’s degree in a relevant field and is skilled in GIS tools like ArcGIS Pro or QGIS, along with programming in Python or R. This position plays a crucial role in supporting Singapore’s coastal adaptation efforts.

Qualifications

• Master’s degree in relevant field is required.
• Proficient in GIS tools like ArcGIS Pro or QGIS.
• Strong programming skills in Python or R for geospatial analysis.

Responsibilities

• Conduct GIS-based mapping across Singapore.
• Perform spatial analysis of sea-level rise vulnerability.
• Validate geospatial simulation outputs and contribute to reports.

Skills

ArcGIS Pro

QGIS

Python

R

Spatial analysis

Education

Master’s degree in Geography, Urban Planning, Geospatial Science, Environmental Engineering, or related

Job description

The School of Civil and Environmental Engineering (CEE), Nanyang Technological University, is the host school for the project “Building Community Resilience Against Sea-Level Rise” (Grant H2_2024-3_T10). The project is funded by the National Parks Board (NParks) under the Marine Climate Change Science Coastal Protection (MCCS) call, and brings together CEE and the Wee Kim Wee School of Communication and Information (WKWSCI) to integrate geospatial modelling, behavioural risk-perception research, agent‑based simulation, and community engagement design in support of Singapore’s coastal adaptation efforts.

Key Responsibilities

• GIS-based mapping of resident and business archetypes across Singapore (Module B);
• Spatial analysis of SLR vulnerability zones overlaid with archetype distributions;
• Geospatial validation of ABM simulation outputs (Module D);
• Contribution to project reports, conference presentations, and top-tier journal publications.

Job Requirements

• Master’s degree in Geography, Urban Planning, Geospatial Science, Environmental Engineering, or related.
• Proficiency in ArcGIS Pro/QGIS and spatial statistics.
• Programming in Python (GeoPandas, folium for interactive mapping) or R (sf, tmap);
• Experience with multi-source spatial data integration and clustering output visualisation.