Computer Science, Engineering: Fully Funded PhD Studentship in AI-driven Non-destructive Testing

European Commission; United Kingdom; On-site; GBP 20,000 - 24,000; Full time

Job summary

Join a leading research team at Swansea University for a PhD focusing on AI applications in Non-Destructive Testing. This project aims to enhance diagnostic accuracy in engineering through innovative techniques like Ultrasound Testing and X-ray CT. Ideal for candidates with a strong background in Computer Science or Engineering.

Benefits

Full cost of tuition fees

Annual stipend at UKRI rate

Additional research expenses of up to £1,000 per year

Qualifications

• PhD applicants must hold a 2.1 level degree or a Master's with 'Merit'.
• UK students only due to funding restrictions.

Responsibilities

• Contribute to advancing NDT techniques using AI.
• Analyze large 3D datasets to improve diagnostic accuracy.

Skills

Artificial Intelligence

Data Analytics

Machine Learning

Image Processing

Education

Undergraduate degree at 2.1 level in Computer Science

Master’s degree with minimum overall grade at ‘Merit’

Job description

Organisation/Company Swansea University Department Central Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 2 Jun 2025 - 23:11 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 analyze manually, increasing the risk of missed defects.

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

• 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
• Mechanical 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

IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent

Specific Requirements

UK Students Only. Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations

PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University). 2025-Country-Specific-Entry-Requirement-document-MASTER.pdf

Additional Information

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26) and an annual top of £1200.

Additional research expenses of up to £1,000 per year will also be available.

Eligibility criteria

Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University). 2025-Country-Specific-Entry-Requirement-document-MASTER.pdf

Selection process

Please see our website for further information