Solarcleano has launched an autonomous, electric, gantry cleaning robot capable of servicing multiple photovoltaic (PV) module banks and offering new inspection opportunities. This robot is particularly beneficial for utility-scale installations where the purchase of solar panel cleaning equipment is justified. The integration of an inspection system is under consideration, necessitating the development of advanced AI-based defect recognition software. The current proposal focuses on developing PV defect detection architecture and creating datasets to enhance detection robustness
Requirements:
The candidate should possess an MSc degree or equivalent in Computer Science or any related engineering discipline. The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Machine learning; Computer Vision; Robotics; Data Analytics & Statistics; Embedded systems; Distributed systems
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PhD Candidate in Computer Vision applied to Solar Panel Monitoring Solarcleano has launched an autonomous, electric, gantry cleaning robot capable of servicing multiple photovoltaic (PV) module banks and offering new inspection opportunities. This robot is particularly beneficial for utility-scale installations where the purchase of solar panel cleaning equipment is justified. The integration of an inspection system is under consideration, necessitating the development of advanced AI-based defect recognition software. The current proposal focuses on developing PV defect detection architecture and creating datasets to enhance detection robustness The candidate should possess an MSc degree or equivalent in Computer Science or any related engineering discipline. The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Machine learning; Computer Vision; Robotics; Data Analytics & Statistics; Embedded systems; Distributed systems
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