Research Fellow / Engineer (decision-support Tool Development) - Csc3(847)
SINGAPORE INSTITUTE OF TECHNOLOGY
Hougang, Singapore
Sgd 5,000 - 6,500 / monthly pm
On-site
Python programming for spatial analysis
Qgis plugin or web-based interface development
Integration of geospatial data and ecosystem service models
The Singapore Institute of Technology is seeking a Research Fellow/Engineer to develop a decision-support tool focused on urban planning and design. The role involves programming, GIS integration, and field data collection, with an emphasis on teamwork and problem-solving in an applied research environment
Job Summary
This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making framework and tool.
The Research Engineer will lead software development and interface programming, working closely with GIS and interdisciplinary team members to create a user-friendly, scalable decision-support tool for planners and policymakers.
The successful candidate will perform field-based data collection and environmental surveys as part of the research team, supporting ecosystem service evaluation in Singapore.
Matching Summary
Match Score: 85
The Singapore Institute of Technology is seeking a Research Fellow/Engineer to develop a decision-support tool focused on urban planning and design. The role involves programming, GIS integration, and field data collection, with an emphasis on teamwork and problem-solving in an applied research environment.
Salary
SGD 5,000 - 6,500 / Monthly
Skills & Requirements
Must-have
Python programming for spatial analysis
QGIS plugin or web-based interface development
Integration of geospatial data and ecosystem service models
Spatial decision support tool development
Field-based environmental data collection
Nice-to-have
Experience with GeoTOPSIS/VectorMCDA methods
Good teamwork and communication skills
Problem-solving and adaptability
Documentation and version control skills
Familiarity with GIS concepts and ArcGIS
Key Requirements
Master’s degree in Computer Science or related fields
Strong programming skills in Python, R, or JavaScript
Experience in plugin or dashboard development
Ability to work with GIS and geospatial data
Self-motivated with ability to learn independently