Job Description
We are seeking a motivated Graduate Research Associate to support research on AI- and computer vision-based thermographic inspection of photovoltaic (PV) panels.
The role involves developing deep learning algorithms, building thermal image mosaics, collecting and analyzing thermal datasets, and contributing to
research on PV health monitoring.
Applicants should have a bachelor's degree in Computer Science, Electrical Engineering, or a related eld, with strong programming skills in Python and/or C/C++.
Familiarity with PyTorch, computer vision, and Linux is required. Experience with thermal imaging, sensor integration, data analysis, and research writing is desirable.
The position is part-time and available immediately.
To be considered for this position, Interested candidates should submit a resume and cover letter outlining their qualifications and research interests.
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