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Job Description
Computer Vision for Smart Structure Laboratory (https://cviss.net) in Civil and Environment Engineering at the University of Waterloo, led by Dr. Chul Min Yeum, is accepting applications for graduate study (MASc, Direct Ph.D., Ph.D., Postdoc). Graduate students will engage in research driven by practical applications, harnessing state-of-the-art technologies to infuse intelligence into the physical built environment. This endeavor aims to enhance the safety and resilience of infrastructure, ensuring its ability to withstand and adapt to challenges. A key research objective for the position is designing, optimizing, and deploying 2D and 3D processing solutions that extract meaningful insights from visual data. Students will collaborate with a multidisciplinary team of engineers and researchers to deliver cutting-edge solutions that drive innovation in our field. Students who have experience or knowledge of deep learning and Multiview geometry are encouraged to apply for this position.
Qualification
Requirements
An undergraduate, MASc, or Ph.D. degree in Civil Engineering, Computer Science, Software Engineering, or System Engineering.
Strong machine learning development skills (TensorFlow, Keras, Pytorch, Lightning) and experience with OpenCV, C++, or/and
C#.
Knowledge in image recognition (e.g., DNN) and computer vision (e.g., Multiview geometry, SLAM),
Experience in processing and analyzing visual data from various sources, including images, videos, depth maps, and point clouds.
Proficiency in English, both spoken and written, to communicate daily.
Preferred qualifications
Track record of publications in the areas of computer vision, image processing, and structural health monitoring
Experience with GPU accelerated computer vision algorithms.
Experience in operating and manipulating optical sensors (e.g., color, depth camera, lidar) and sensing hardware (e.g., DAQ)
Duties and responsibilities
Coordinating research projects and delivering outputs.
Disseminating results through scientific publications and conference presentations.
Communicating and working with industries and stakeholders in government.
Participating in research proposal drafting and project deliverables.
Assisting in the organization of relevant workshops and demos.
Application
All qualified individuals are encouraged to apply for this position. The candidates should send a detailed CV to Dr. Yeum (cmyeum@uwaterloo.ca) with the email subject “Position Application”. Before applying to the position, please review the current research in our lab (https://cviss.net). Dr. Yeum may ask for additional information from the candidates.
Dr. Yeum will review the applications and contact candidates who meet the criteria to arrange interviews. If you do not hear from us, it means your application did not progress to the interview stage. Selected candidates will have the opportunity to start the program in Spring 2025 or Fall 2025.
If you are passionate about applying the newest computer vision technologies to solve impactful civil engineering problems and want the opportunity to collaborate with leading industry partners, apply to our lab today! |