Job Description
Research Fellow (in AI-enabled cloud analytics and BIM-based Digital Twin systems) - NTQ1
Posting Start Date:  15/04/2026
Schemes of Service:  Research
Division:  Engineering
Employment Type:  Fixed Term

We are seeking a Research Fellow to develop AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring and control in bridge and viaduct construction.

 

Key Responsibilities

  • Develop cloud-based pipelines to process robotic/ATS survey data
  • Build AI/analytics models for alignment, deflection, and tolerance control
  • Design real-time dashboards and alert systems
  • Develop BIM-integrated Digital Twin for design vs. as-built comparison
  • Implement DfC analytics and what-if simulations for construction decision-making
  • Support project management, procurement of equipment/software, and coordination with stakeholders
  • Prepare technical reports, publications, and project deliverablesp
  • Support system deployment with industry partners and contribute to IP development

 

Requirements

  • PhD in Civil Engineering, Construction Management, or related field
  • Strong skills in AI/ML, data analytics, or digital twin systems
  • Experience with BIM (e.g., Revit/IFC) and data integration
  • Programming experience (e.g., Python, cloud platforms)
  • Ability to work independently and across interdisciplinary teams
  • Experience in sensor data fusion, automation, or robotics in construction is a plus
  • Familiarity with IDD, DfC, or digital twin applications is a plus