This project is funded by:
This PhD project explores the development of a robotic, ultrasonic non-destructive testing and evaluation (NDT&E) system to evaluate and characterise composite and polymer materials—widely used in aerospace, automotive, renewable energy industries, and medical applications. Unlike traditional mechanical testing methods, which can damage materials or lack the precision required for modern manufacturing, this automated ultrasonic system provides real-time, accurate measurements without altering the material structure.
By incorporating robotic systems, advanced signal processing, and integration with digital manufacturing tools, the project aims to create a more efficient, reliable material testing process that aligns with Industry 4.0 frameworks. This technology supports predictive maintenance by supplying essential data for simulations and digital twins, enabling engineers to anticipate issues and make informed decisions to extend material lifespan.
Students involved in this project will work on developing ultrasonic scanning prototypes, simulation models, and conducting material testing. This hands-on experience will prepare graduates for impactful careers in advanced engineering and digitalised manufacturing. Students will have access to state-of-the-art facilities on the Belfast campus and at the Advanced Manufacturing Research Centre (AMIC).
Ideal candidates will have a background in engineering, computer science, or materials science and a strong interest in applying technology across multiple fields.
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.
We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.
In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.
Appointment will be made on merit.
This project is funded by:
Our fully funded PhD scholarships will cover tuition fees and provide a maintenance allowance of £19,237 (tbc) per annum for three years (subject to satisfactory academic performance). A Research Training Support Grant (RTSG) of £900 per annum is also available.
These scholarships, funded via the Department for the Economy (DfE) and the Vice Chancellor’s Research Scholarships (VCRS), are open to applicants worldwide, regardless of residency or domicile.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Due consideration should be given to financing your studies.
[1] Tabatabaeipour, M; Linear and Nonlinear Ultrasonic Imaging of Defects in Composite Structures, PhD Thesis, KU Leuven, 2016.
[2] Tabatabaeipour, M., Honarvar, F. A Comparative Evaluation of Ultrasonic Testing of AISI 316L Welds Made by Shielded Metal Arc Welding and Gas Tungsten Arc Welding Processes, Journal of Materials Processing Technology, Vol. 210, pp. 1043-1050, 2010, https://doi.org/10.1016/j.jmatprotec.2010.02.013
[3] Tabatabaeipour, M., Tzaferis, K., McMillan, R., Jackson, W., Dobie, G., Edwards, R., Trushkevych, O., Gachagan, A., Ultrasonic Guided Wave Estimation of Minimum Remaining Wall Thickness Using Gaussian Process Regression, Materials & Design, 2022.
[4] Kersemans M, Martens A, Degrieck J, Van Den Abeele K, Delrue S, Pyl L, Zastavnik F, Sol H, Van Paepegem W. The Ultrasonic Polar Scan for Composite Characterization and Damage Assessment: Past, Present and Future. Applied Sciences. 2016; 6(2):58.
[5] Tabatabaeipour, M., Trushkevych, O., Dobie, G., Edwards, R.S., McMillan, R., Macleod, C., O'Leary, R., Dixon, S., Gachagan, A., Pierce, S.G. Application of ultrasonic guided waves to robotic occupancy grid mapping, Mechanical Systems and Signal Processing, 63, 2021.
Submission deadline
Monday 24 February 2025
04:00PM
Interview Date
March 2025
Preferred student start date
15th September 2025
Telephone
Contact by phone
Email
Contact by email