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.

National Parks Board
Researcher/Snr Researcher (Greenery Planning & Design) (GML)-Contract
What the role is
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.
What you will be working on
[What you will be working on]
As part of our Geospatial Modelling team, you will apply advanced urban analytics to bridge the gap between research and policy by:
• Leveraging urban data science: Harness large-scale geospatial datasets and advanced analytics to model ecosystem services (thermal cooling, stormwater management, recreational benefits) and assess accessibility-based service levels across Singapore's urban landscape
• Leading applied analytics projects: Scope and manage geospatial modelling initiatives that combine spatial statistics, machine learning, and urban systems analysis to address real operational challenges
• Translating data into action: Work with policymakers, planners, and cross-functional teams to transform complex analytical insights into actionable guidance for Singapore's urban development
• Building analytical capacity: Advance NParks' capabilities in urban data science, geospatial analytics, and computational modelling for urban ecosystems
What we are looking for
• Postgraduate degree in geography, urban planning, urban economics, environmental science, ecology, environmental economics, data science, or related fields
• Experience in ecosystem services modelling, ecosystem services valuation and/or natural capital accounting
• Strong geospatial modelling and data analytics skills, including experience working with large urban datasets and conducting spatial and statistical analysis
• Able to build dashboards or simple applications to facilitate user interaction with data.
• Proficiency in R, Python, Javascript, or similar coding languages for data analysis and visualization
Preferably, candidates should possess:
• Track record in urban data science and analytics projects, particularly ecosystem service modelling, and integrated valuation
• Experience with advanced analytical techniques (spatial statistics, machine learning, network analysis) applied to urban systems
• Research grant and/or project management experience
• Demonstrated success working with diverse stakeholders (government agencies, vendors, academia)
Only shortlisted candidates will be notified. Successful candidates will be offered employment contract till 31 Dec 2028.
.
[What we are looking for]
As above
About your application process
This job is closing on 04 Jan 2026.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within National Parks Board or the wider Public Service.
About National Parks Board
Learn more about National Parks Board