The KAUST Solar Center is seeking a seasoned Research Scientist for a full-time, fixed term position, initially for two years. The Research Scientist will support a research project that envisions to develop machine learning augmented monitoring of PV fields using drones for Vis/IR image acquisition. The position requires a strong background in photovoltaics with emphasis in PV module reliability, stability, and measurement techniques. We expect hands-on experience with PV system design, PV field equipment, PV field monitoring and PV simulation techniques. Programming experience, particularly Python, is a strong plus. The ability to work independently or as part of a team, as required, is a prerequisite.
Major Responsibilities
Develop PV plant inspection and data acquisition routines for drone-based PV monitoring
Inspect and classify IR images of PV modules for fault detection and characterization
Retrieve and analyze SCADA data from PV fields
Feed and maintain PV imaging data base
Test transferability of established machine learning software and respective hardware
Foster collaboration and exchange with participating teams
Compile and present data to team members and collaborators
Other Responsibilities
Assist in organizing the logistics for PV field visits
Work hand in hand with other researchers, solving and troubleshooting operational challenges
Competencies
Fundamental understanding of photovoltaics at cell, module and system level
Expert knowledge regarding device performance and failure modes
Hands-on experience with PV characterization equipment, particularly at PV field level
Experience in creating and maintaining large data bases
Experience with SCADA systems and PV farm monitoring
Programming experience with Python or similar
Ability to work collaboratively and foster a cooperative work environment
Strong verbal and written communication skills in English
Desired Qualifications
Ph.D. in physics, electrical engineering or other related fields with a specialization in photovoltaics with at least five years of subsequent experience in PV module reliability, PV systems or similar.
Demonstrated proficiency in all forms of communication, along with solid time management, teamwork and organizational skills.
