Research Fellow (in AI-enabled cloud analytics and BIM-based Digital Twin systems) - NTQ1
SINGAPORE INSTITUTE OF TECHNOLOGY
Punggol, Singapore
Phd in civil engineering or related field
Strong skills in ai/ml and data analytics
Experience with bim (revit/ifc) and data integration
The role involves developing AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring in bridge and viaduct construction
Job Summary
The role involves developing AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring in bridge and viaduct construction.
Key responsibilities include building cloud pipelines for robotic survey data, designing alignment models, and implementing real-time dashboards for defect detection.
The successful candidate will support project management, coordinate with industry partners, and contribute to intellectual property development.
Matching Summary
The role involves developing AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring in bridge and viaduct construction.
Skills & Requirements
Must-have
PhD in Civil Engineering or related field
Strong skills in AI/ML and data analytics
Experience with BIM (Revit/IFC) and data integration
Programming experience in Python and cloud platforms
Ability to work independently across interdisciplinary teams
Nice-to-have
Experience in sensor data fusion, automation, or robotics
Familiarity with IDD, DfC, or digital twin applications
Background in robotic survey data processing
Key Requirements
PhD in Civil Engineering, Construction Management, or related field
Strong programming experience in Python and cloud platforms
Demonstrated expertise in AI/ML and digital twin systems