PhD Scholarship in AI-Assisted Monitoring at RMIT University 2024

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. Objectives also include other types of inspection, such as detecting hot spots, glass breakage, soiling, and cleanliness checks.

Topic: AI-Assisted Monitoring and Inspection of Solar Photovoltaic Power Plants Using Aerial Imagery.

Eligibility criteria:

To apply, candidates must have:

• 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, an Australian permanent resident, or an international student.
• 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.

Application process:

Send an email to ehsan.asadi@rmit.edu.au by attaching the following documents:

• A cover letter
• A copy of transcripts
• A CV that includes any publications/awards, experience relevant to the project
• Contact details for 2 referees.

Benefits:

• In addition to a stipend of $32,841 per year pro rata (full-time) for 3.5 years, the successful applicant will also get a tuition fee scholarship if they meet the requirements of the scholarship.