Graduate and Postdoctoral Positions in Computer Vision, Robotics, and Civil Engineering at University of Waterloo University of Waterloo in Canada

The Computer Vision for Smart Structure Lab (CVISS Lab) at the University of Waterloo, led by Dr. Chul Min Yeum, is seeking applications for graduate (MASc, Direct Ph.D., Ph.D.) and postdoctoral positions. The lab is part of the Department of Civil and Environmental Engineering and focuses on leveraging computer vision, robotics, and artificial intelligence to enhance the safety, resilience, and adaptability of civil infrastructure. Research topics include computer vision, non-destructive testing (NDT), multi-view geometry, UAVs, and robotics, with an emphasis on applying state-of-the-art technologies to solve impactful civil engineering problems.

Graduate students and postdocs will engage in interdisciplinary research, collaborating with engineers and researchers to develop and deploy advanced 2D and 3D processing solutions for extracting meaningful insights from visual data. The lab values candidates with experience or knowledge in deep learning, multi-view geometry, and AI-driven analysis of multimodal data such as images, video, depth maps, LiDAR, and point clouds.

Applicants should have a background in Civil Engineering, Computer Science, Software Engineering, Systems Engineering, or related fields. Required skills include machine learning and deep learning (PyTorch or TensorFlow), computer vision fundamentals (multi-view geometry, 3D reconstruction, SLAM), and experience with 2D/3D object detection and segmentation. Preferred qualifications include familiarity with vision transformers, vision-language models, large-scale model optimization, AI deployment in real-world environments, and a publication record in computer vision, robotics, or structural health monitoring.

To apply, candidates should send a detailed CV to Dr. Yeum ([email protected]) with the subject 'Position Application' and review the lab's research at https://cviss.net. Selected candidates may start in Spring or Fall 2026. The lab offers opportunities to collaborate with leading industry partners and contribute to impactful research in smart infrastructure.