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Intern Researcher
1 month ago
Introduction Computer Vision for Smart Structure Laboratory (CVISS) at the University of Waterloo, led by Dr. Ca/civil-environmental-engineering/profile/cmyeum), invites applications for graduate studies ( Direct Ph.Postdoc ) in Civil and Environmental Engineering. Net/) focuses on practical, application-driven research, utilizing advanced technologies to integrate intelligence into the physical built environment, aiming to enhance infrastructure safety and resilience.
Our lab is currently recruiting for four positions:
Computer Vision
Nondestructive Testing
The main task for the position will be to participate in the research projects on the development of mobile robotic sensing and analysis systems for infrastructure inspection and management and human-robot interaction for collaborative inspection. Students who have experience or knowledge in mobile robotics, computer vision, and augmented/virtual reality are recommended to apply for this position.
An undergraduate, MASc, or Ph.D. degree in Civil Engineering, Computer Science, Electrical Engineering, Mechatronics Engineering, Software Engineering, or System Engineering.
Proven expertise in drone development, spanning flight control systems like PX4, autonomous mission design, and execution.
Knowledge in computer vision (e.Comprehensive knowledge of drone hardware, sensors, and communication protocols, including MAVLink.
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Job Description 2 (Computer Vision)
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.
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#.
DNN) and computer vision (e.Experience in processing and analyzing visual data from various sources, including images, videos, depth maps, and point clouds.
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Job Description 3 (Nondestructive Testing)
A primary research goal for this position is evaluating the quality and safety of various infrastructure (e.reinforced concrete or steel structures) utilizing Non-destructive Testing (NDT). 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 NDT are encouraged to apply for this position.
An undergraduate, MASc, or Ph.D. degree in Civil Engineering, Mechanical Engineering, Electrical Engineering or equivalent.
Extensive experience in NDT methods including visual inspection, ultrasonic wave, and electromagnetic wave.
Excellent proficiency in software or tools, such as Python, Matlab, LabView, or similar.
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Job Description 4 (Graph Networks for Flood Modelling)
This position is to develop and apply for graph networks/ graph neural networks, for flood modeling and flood hazard assessment. The successful candidate will participate in research projects aimed at improving flood prediction, risk assessment, and decision-making tools in the context of climate resilience.
An undergraduate, M.D. degree in Civil Engineering, Environmental Engineering, or other relevant fields.
Experience in graph networks/ graph neural networks and/or data-driven based approaches for flood modelling and prediction.
Proficiency in programming languages such as Python and familiarity with relevant libraries (e.Experience working with large and varied datasets, including hydrological, meteorological, and geographic information system (GIS) data, to build reliable flood hazard models.
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Proficiency in English, both spoken and written, to communicate daily.
Track record of publications in the areas of machine learning, computer vision, image processing, or structural health monitoring
Familiarity with Git for version control is preferred.
Coordinating research projects and delivering outputs.
Disseminating results through scientific publications and conference presentations.
Participating in research proposal drafting and project deliverables.
Before applying to the position, please review the current research in our lab (
//Net or
//). If you do not hear from us, it means your application did not progress to the interview stage. 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
