Intern, Geodesy & National Mapping
Core
Automate the discovery, detection, and collection of publicly available geospatial information to enhance and update the SLA's High-Resolution Map (HRMap) by developing proof-of-concept workflows using web crawling, data extraction, and AI/LLM techniques.
Role type
Intern, Geodesy & National Mapping
Builds
Automated change detection workflows and structured geospatial data for HRMap
Domain
Geospatial mapping and data engineering
Deliverable
production ML models
Required skills
Python programming, web crawling, data extraction, AI/LLM techniques, geospatial data analysis
Preferred skills
Experience with building-level change detection, unstructured text processing
Technologies
Python, AI/LLM frameworks, web scraping tools
Responsibilities
Review HRMap datasets to identify candidates for automated change detection; Develop web crawling and data extraction workflows from public information sources; Apply AI/LLM techniques to extract structured geospatial change information from unstructured text; Design and prototype logic for detecting building and infrastructure changes; Validate extracted data and prepare structured outputs for HRMap integration; Document workflows, methodologies, and findings.