Vacancy Description
Support the enhancement and updating of SLA’s High-Resolution Map (HRMap) by developing methods to automate the discovery, detection, and collection of publicly available geospatial information. The intern will review existing HRMap layers and identify datasets that can be continuously monitored (e.g. new buildings, MRT stations, roads, and facilities). The intern will develop proof‑of‑concept workflows using web crawling, data extraction, and AI/LLM techniques to capture and structure update signals from public sources. In addition, the intern will enhance existing systems to detect building‑level changes (e.g. new construction, demolition, redevelopment, or address updates) and support automated updates to the HRMap building layer. This project aims to improve data currency, reduce manual maintenance effort, and strengthen automated change detection capabilities for national mapping.
What you will be working on:- Review HRMap datasets...
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