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A government agency for urban ecology is seeking a Geospatial Modelling Team Lead to architect and develop map applications that empower policymakers with evidence-based decision-making tools. The role involves developing user-friendly dashboards and integrating geospatial analyses into workflow processes. Candidates should hold a postgraduate degree and have a proven track record in full-stack development and geospatial modelling. This is a unique opportunity to shape Singapore’s urban environment through innovative, data-driven insights.
Join the Centre for Science of Urban Nature (CSUN) at the National Parks Board NParks) and see your research directly shape Singapore's urban environment. We're stablishing a geospatial modelling team where your work won't just advance academic knowledge but also empower policymakers to make evidence-based decisions about Singapore's natural capital. CSUN conducts application-focused research across urban greenery and ecology, from arboriculture to human-nature relationships. Our mission is to translate cutting-edge science into practical solutions that enhance Singapore's tropical urban living environment.
As part of our Geospatial Modelling team, you'll lead efforts to develop map applications to visualize and translate models developed by researchers into decision making tools for our users:
Architect and develop map applications for decision making: Develop and architectinfrastructure to build interactive geospatial dashboards and visualisation tools that enable policymakers to explore ecosystem services models (e.g. thermal cooling, stormwater management, recreational benefits) and accessibility metrics for evidence-based land use planning
Applications with user-friendly interfaces: Create user-friendly analytical interfaces that integrate spatial ecology models and ecosystem services assessments into NParks' policy workflows, making complex data accessible to non-technical stakeholders
Translating analytics into visual insights: Transform large-scale geospatial datasets and modelling outputs into clear, actionable visualisations that support real-time policy decisions and operational planning
Collaborating with end-users: Work closely with policymakers, planners, and cross-functional teams to understand their decision-making needs and iteratively refine dashboards for maximum policy impact
Building technical infrastructure: Work closely with the IT infrastructure team to put together the necessary software, frameworks and architecture to enable continuous development and deployment of research models for visualization on the application.
Preferably, candidates should possess:
Only shortlisted candidates will be notified. Successful candidates will be offered employment contract till 31 Dec 2028