Job Description

NUS is hiring a Research Engineer to architect and develop a centralized Digital Twin Platform (DTP) for a fleet of construction robots. As the lead for Track 2 at NUS, he/she will be required to build the software bridge that connects real-time on-site physical data with digital models, enabling advanced progress tracking and automated task visualization. He/she will need to collaborate closely with the Advanced Remanufacturing and Technology Centre (ARTC) to integrate our DTP with their Robot Management Framework (RMF).

Key Responsibilities:
•    Develop a comprehensive Digital Twin Platform capable of processing point clouds and video analytics for real-time site reconstruction.
•    Implement algorithms for As-built vs. As-designed comparison to autonomously track construction progress against BIM models.
•    Design and deploy a scalable backend architecture and an interactive 3D frontend visualization dashboard for the DTP and RMF.
•    Ensure seamless API integration and data pipeline synchronization with external fleet management frameworks (including PM hoist systems and dynamic scheduling engines).
•    Lead the software engineering lifecycle of the digital platform, from tabletop prototype to full field deployment.

Job Requirements

•    Possess at least a bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
•    Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks).
•    Proficiency in 3D rendering and game engine technologies (e.g., Unity, Unreal Engine, WebGL, Three.js) for digital twin visualization.
•    Familiarity with BIM standards (IFC, Revit) and spatial databases is a strong plus.
•    Excellent software architecture design capabilities and experience with cloud/edge computing deployment.
•    Good written and spoken communication skills. 
•    Open to fixed term contract.