Research and Development Professional

4 days ago


Waterloo, Ontario, Canada University of Waterloo Full time

About the Position

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We are seeking a highly skilled Research and Development Professional to join our team at the University of Waterloo, working on innovative projects related to smart infrastructure. The successful candidate will have a strong background in computer vision, machine learning, and data analysis.

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Key Responsibilities

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  • Conduct research and development on various smart infrastructure projects, focusing on computer vision, image processing, and machine learning techniques.">
  • Collaborate with a multidisciplinary team of researchers and engineers to design, develop, and deploy cutting-edge solutions for infrastructure inspection and management.">
  • Develop and apply graph neural networks for flood modeling and hazard assessment, leveraging expertise in data-driven approaches and hydrological data analysis.">
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Requirements and Qualifications

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  • Ph.D. or Master's degree in Computer Science, Electrical Engineering, Civil Engineering, or a related field.">
  • Strong programming skills in languages such as Python, C++, and MATLAB.">
  • Familiarity with deep learning frameworks like TensorFlow, PyTorch, and Keras.">
  • Experience with data analysis, visualization, and machine learning libraries such as scikit-learn, OpenCV, and NumPy.">
  • Excellent communication and teamwork skills, with experience working on collaborative projects.">
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About Us

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The University of Waterloo is a leading institution in Canada, recognized for its excellence in research and innovation. Our CVISS lab focuses on developing practical applications of advanced technologies to enhance infrastructure safety and resilience.

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Salary and Benefits

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We offer a competitive salary range of $80,000 - $120,000 per year, commensurate with experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.

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How to Apply

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If you are passionate about applying computer vision and machine learning techniques to solve complex infrastructure problems, please submit your application, including a detailed CV and cover letter, to our website. We look forward to reviewing your application



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