Job Description

NUS is hiring a Research Fellow to architect and develop a centralized Digital Twin Platform (DTP) for a fleet of construction robots. As the lead for Track 2 at NUS, you will build the software bridge that connects real-time on-site physical data with digital models, enabling advanced progress tracking and automated task visualization. You will 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 a PhD in Computer Science, Software Engineering, Information Systems, 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.
•    Strong written and spoken communication skills.
•    Open to fixed-term contract.