Research Engineer/Assistant (Agentic AI & Urban Intelligence)-Cities Foresight Lab(CFL), NUS Cities

NATIONAL UNIVERSITY OF SINGAPORE

Singapore, Singapore
Not specified
Proficiency in python programming
Experience with agentic frameworks
Model context protocol (mcp) implementation
The National University of Singapore's Cities Foresight Lab (CFL) is hiring a Research Engineer/Assistant to develop an Agentic Orchestration Framework aimed at enhancing urban policy and planning workflows through advanced data synthesis. The successful candidate will implement a scalable framework that integrates diverse data sources and supports interdisciplinary collaboration with urban planners and social scientists

Job Summary

  • The role focuses on developing a scalable Agentic Framework to enhance efficiency in urban policy and planning workflows.
  • Candidates will implement Model Context Protocol servers to connect diverse data sources with expert agent models.
  • The position requires collaboration with interdisciplinary teams of urban planners and social scientists to ensure context-aware outputs.

Matching Summary

Match Score: 85

The National University of Singapore's Cities Foresight Lab (CFL) is hiring a Research Engineer/Assistant to develop an Agentic Orchestration Framework aimed at enhancing urban policy and planning workflows through advanced data synthesis. The successful candidate will implement a scalable framework that integrates diverse data sources and supports interdisciplinary collaboration with urban planners and social scientists.

Skills & Requirements

Must-have

  • Proficiency in Python programming
  • Experience with agentic frameworks
  • Model Context Protocol (MCP) implementation
  • Multi-step reasoning loop design
  • Handling unstructured and structured datasets

Nice-to-have

  • Familiarity with geospatial analysis libraries
  • Experience with Retrieval-Augmented Generation
  • Knowledge of explainability and trust frameworks
  • Cloud deployment environment experience
  • Interest in urban social policy applications

Key Requirements

  • Bachelor's or Master's Degree in Computer Science or related field
  • Hands-on experience with system architecture and tool-calling logic
  • Strong computational focus in quantitative fields

Work Rights

Not specified

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