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Field
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. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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use, zoning, property taxation, or housing finance policy. Working proficiency in econometric, statistical, or qualitative analysis software (e.g., Python, R, Stata, NVivo, EViews) and/or GIS and data
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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and
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master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. solid experience from or competence in GIS and remote sensing, and
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environment data for Singapore from government agencies and open sources, using GIS software (i.e. QGIS), R, and Python. Undertake 2D and 3D geospatial modelling and analysis. Apply spatial and statistical
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. Demonstrated competence of programming languages, such as Matlab, R, or Python, within a GIS environment Ability to publish and communicate effectively to both technical and non-technical audiences Ability
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
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Sensing, Conservation Biology, Data Science, or a related field. Experience in ecological modelling, spatial ecology, biodiversity assessment, or remote sensing. Proficiency in R and/or Python, GIS, and
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developing and teaching spatial methods, especially desktop GIS, R, and Python strongly preferred. Desirable Qualifications: Interest/experience in spatial AI approaches. Comfort with research project