School of Engineering

Republic Polytechnic

Fixed Terms

Closing on 29 Sep 2025

What the role is

Republic Polytechnic's School of Engineering is seeking one new Research Staff for a duration of 12 months to work on a project for Automated Smart Tagging for Digital Twin-Based Infrastructure Inspection and Analysis with the following. We are looking for a driven and detail-oriented Computer Engineer with a strong background in machine learning and computer vision to join our interdisciplinary team working at the intersection of AI and the built environment. You will work closely with engineers and domain specialists to build intuitive web-based platforms that process, tag, and visualize visual datasets from drones and manual inspections. Your work will contribute to safer, smarter building and structural assessments through digital twin and AI-driven analysis.

What you will be working on

• Develop and deploy machine learning models for construction site analytics using video, sensor, and 3D data.
• Design deep learning pipelines for infrastructure defect and object detection, semantic segmentation, and tracking (e.g., using YOLO, Transformers).
• Process and analyse point cloud data for structural modelling, damage detection, and registration using 3D vision techniques.
• Support the development of digital twin environments by integrating 2D/3D data from drones or photogrammetry.
• Participate in end-to-end model development: data collection, model design, training, validation, and deployment.

What we are looking for

• Relevant qualification in Computer Engineering, Civil Engineering, or related disciplines with focus on AI or data analytics.
• Knowledge of machine learning, deep learning, and computer vision, especially in 3D data processing.
• Proficient in Python, PyTorch, Scikit-learn, and experience with C++ or other forms of computer language.
• Experience with 3D vision tools like Structure-from-Motion, photogrammetry, and point cloud processing.
• Familiarity with line geometry-based registration and transformer models is a plus.
• Strong analytical, communication, and teamwork skills.
• Exposure to infrastructure or civil engineering inspection workflows is a plus.
• Experience in application of AI for built environment monitoring or digital twin systems.
• Strong problem-solving skills and ability to collaborate with technical and non-technical stakeholders.

About Republic Polytechnic

The first educational institution in Singapore to leverage the Problem-based Learning approach for all its diploma programmes, Republic Polytechnic (RP) has seven schools offering courses in Applied Science, Engineering, Business, Hospitality, Infocomm, Sports and Health, and Technology for Arts, Media and Design. To support Singapore's national effort to promote continuous, lifelong learning, our Academy for Continuing Education (ACE) offers a wide range of part-time programmes. We welcome you to grow with us Discover a people- and family-oriented culture, where you are inspired to improve as you nurture lifelong learners. For more information from RP, please visit or follow us on LinkedIn.

About your application process

This job is closing on 29 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Republic Polytechnic or the wider Public Service.