RMIT University invites applications for the PhD Scholarship in AI-Assisted Monitoring and Inspection of Solar Photovoltaic Power Plants in Australia for the 2022/23 academic year.
This research contributes to computer vision, machine learning, robotics and optimization methods for automating fault/anomaly detection and cleanliness checks for PV systems using visual/thermal images.
Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other types of inspection, such as detecting hot spots, glass breakage, soiling and cleanliness check.
Worth of Award
- This co-funded scholarship provides a stipend of $32,841 per annum pro rata (full-time) for 3.5 years.
- The successful applicant will also be awarded a Tuition Fee Scholarship if required and comply with Scholarship terms and conditions.
- have a first-class Honours or Master’s or equivalent degree in a relevant discipline of engineering/science
- be an Australian citizen, New Zealand Citizen or an Australian permanent resident or an international student -meeting the minimum English language requirements
- provide evidence of adequate oral and written communication skills
- demonstrate the ability to work as part of a multi-disciplinary research team
- meet RMIT’s entry requirements for the PhD by research degree
How to Apply
Potential candidates should contact Dr Ehsan Asadi ([email protected]) and provide:
- a cover letter (including research statement and reasons for applying for this scholarship and project)
- a copy of electronic transcripts
- a CV that includes any publications/awards, experience relevant to the project and the contact details for 2 referees
Deadline: Applications for the PhD Scholarship in AI-Assisted Monitoring will close once the candidate is appointed.