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Headquartered in Singapore, Nanyang Technological University is a premier public research university recognized globally for its excellence in science, engineering, business, and medicine. The institution features state-of-the-art research facilities and interdisciplinary programs dedicated to driving technological innovation, artificial intelligence, and sustainability. Consistently ranked among the world's top academic institutions, it nurtures future leaders and fosters impactful collaborative research across global industries.

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.

We are looking for a Research Associate (GIS & Spatial Analytics) to lead geospatial modelling and validation work for the NParks MCCS project on community resilience against sea-level rise.

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.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU
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