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Job ID: 134085

Postdoc -- Vision-based Condition Assessment of Infrastructures
Purdue University


Date Posted Nov. 25, 2019
Title Postdoc -- Vision-based Condition Assessment of Infrastructures
University Purdue University
West Lafayette, IN, United States
Department Electrical and Computer Engineering / Civil Engineering
Application Deadline Dec. 6, 2019
Position Start Date Summer 2020
 
 
  • Post-Doc
  • Robotics
    Electrical and/or Electronics
    Computer Engineering
    Computer Science
    Civil Engineering
 
 

This project will lead to advancements in machine learning and computer vision approaches for detection, quantification and localization of defective regions on civil infrastructure systems. Regular inspections and maintenance of infrastructure systems will prolong their service life. Visual manual assessment is currently the predominant method used for the inspection of most infrastructures which is a subjective, time-consuming, and labor-intensive process that is highly prone to human error. There is an urgent need to develop more effective approaches for the inspection of infrastructure systems – these include using machine learning, computer vision and robotic systems. The postdoctoral researcher will develop new approaches for autonomous analysis of image-based data for condition assessment of civil infrastructure systems (e.g., buildings, roads, dams, bridges, nuclear power plants, sewer pipelines, etc.). The selected candidate will utilize state-of-the-art facilities at Purdue’s Video and Image Processing Laboratory (VIPER) and Smart Informatix Laboratory as well as Bowen Laboratory to develop filed application solutions to uplift the condition of infrastructures by facilitating the next generation of quantitative and more frequent inspections and health monitoring.

PhD in Electrical or Computer Engineering, Civil Engineering, or closely related fields with strong background and experience in Computer Vision, Deep Learning, and Machine Learning.


 
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