INTERNSHIP DETAILS

Intern, Geodesy & National Mapping

CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedJuly 16, 2026
Internship Information
Core Responsibilities
Support the enhancement of the High-Resolution Map by automating the discovery and collection of geospatial information from public sources. Develop proof-of-concept workflows using AI, LLMs, and web crawling to detect building-level changes and infrastructure updates.
Internship Type
full time
Company Size
4426
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Government Technology Agency of Singapore (GovTech) is the lead agency driving Singapore's Smart Nation initiative and public sector digital transformation. We harness the power of technology to make lives better for citizens, businesses, international audiences and the public service sector. Our mission: Engineering Digital Government, Making Lives Better. Our goal is to create a government that is "Digital to the Core, and Serves with Heart". We achieve this by using technology to create services that are easy, seamless and secure for people to use, and placing the needs of citizens and businesses at the centre of everything we do. As a digital government, our public officers are also able to continually upskill, adapt to new challenges and work more effectively across agencies as well as with citizens and businesses in Singapore.
About the Role

[What the role is]

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 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 (e.g. news, announcements).
  • Design and prototype logic for detecting building and infrastructure changes (e.g. new, modified, or removed features).
  • Validate extracted data and prepare structured outputs for HRMap integration.
  • Document workflows, methodologies, and findings.

[What we are looking for]

  • Pursuing tertiary qualifications in Computer Science, Data Science, Artificial Intelligence, Information Systems, Geomatics, or related fields.
  • Basic programming skills in Python.
  • Interest in web scraping, data engineering, AI/LLMs, or geospatial technologies.
  • Strong analytical and problem-solving abilities.
  • Good communication skills and ability to work both independently and in a team.
  • Relevant coursework or academic projects related to the role
  • Initiative to seek feedback and continuous improvement
  • Self-motivated and able to work independently
  • Able to commit between August 2026 to February 2027 or September 2026 to March 2027.
  • Please include your availability in your CV.
Key Skills
PythonWeb ScrapingData EngineeringAI/LLMGeospatial TechnologiesData ExtractionAnalytical ThinkingProblem SolvingCommunicationWeb Crawling
Categories
Data & AnalyticsTechnologyGovernment & Public SectorEngineeringScience & Research