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  Artificial Intelligence in Offshore Wind Farm Maintenance

   School of Engineering

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  Dr W Yang  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

With the continuous and rapid growth of the offshore wind industry, how to efficiently and cost-effectively maintain the key facilities in remote offshore wind farms has become a key factor that directly determines the economic viability of offshore wind farms. However, there hasn't been much research on this topic before. The research in this project will fill this knowledge gap by developing a dedicated automated offshore wind farm maintenance tool based on artificial intelligence (AI) technology. The content of the research will involve the development of a series of AI-based technologies, such as intelligent image processing, data analysis, communications, and the development of robot tools. The applicants with a background in image processing, signal processing, communications, and robotics, or the knowledge in a related field are very welcome to apply for this PhD studentship.  

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices. 

Computer Science (8) Engineering (12)
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 About the Project