School of Engineering - Research Staff (Software Engineer, Computer Vision & AI)

[What the role is]

[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]

[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.

[What we are looking for]

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