PhD Studentship : Computer Science, Aerospace Engineering: Fully Funded PhD Studentship in AI Models for Efficient Non-destructive Testing

Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage.

This PhD project focuses on advancing Ultrasound Testing and X-ray Computed Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing the risk of missed defects.

Using the power of Artificial Intelligence (AI), this research aims to:

• - Automate defect detection in complex 3D structural data
• - Enhance diagnostic accuracy and processing speed
• - Provide human experts with a reliable second opinion

This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical, civil, and materials engineering.

We welcome applicants with a background in:

• - Computer Science
• - Aerospace Engineering
• - Civil Engineering
• - Physics

If you have a keen interest in AI, data science, or computational modelling and want to collaborate with industry experts, this opportunity is for you!

Why Join Us?

• - Work with a leading research team and industry specialists
• - Gain interdisciplinary training in AI, modelling, and data analytics
• - Contribute to real-world engineering applications
• - Be part of the dynamic research community at the Zienkiewicz Institute for Modelling, Data and AI

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