PhD Research Studentships
Non-Destructive Testing via Data-driven science for dynamic systems
| Supervisor: | Yunpeng ZHU |
| Apply by: | 29 January 2025 |
| Start in: | September (Semester 1) |
Description
Join Us in Shaping the Future of Engineering Excellence!
Engineering systems like buildings, vehicles, and advanced materials are frequently exposed to dynamic loads, leading to fatigue and damage. Ensuring their long-term health and performance through Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) is crucial for quality management. However, current signal processing and machine learning methods often require costly sensor networks, and their results can be difficult to interpret, limiting their reliability for real-world engineering applications.
Our project seeks to revolutionize NDT for complex structures and materials by developing an innovative, data-driven approach that leverages cutting-edge spatial-temporal analysis. By utilizing advanced techniques such as sparse regression and nonlinear frequency analysis, we aim to provide more interpretable and accurate insights for the health monitoring of engineering systems.
In collaboration with leading academic and industrial partners from the UK, USA, Netherlands, China, and more, this project will push the boundaries of data and system science. You'll have the opportunity to work with an international team, publish high-impact research in prestigious journals, and make a real-world impact in the field of engineering.
Be part of this exciting journey to advance engineering systems for a safer, more efficient future!
Funding
Funded by: China Scholarship CouncilCandidate will need to secure a CSC scholarship.
Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses and one return flight ticket to successful applicants.
Eligibility
- The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
- If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of minimum score of 6.0 in each of Writing, Listening, Reading and Speaking).
- Candidates are expected to start in September (Semester 1).
Contact
For informal enquiries about this opportunity, please contact Yunpeng ZHU.
Apply
Start an application for this studentship and for entry onto the PhD Mechanical Engineering full-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-605" to associate your application with this studentship opportunity.
| Related website: | https://www.sems.qmul.ac.uk/staff/y.zhu/ | |
| SEMS Research Centre: | ||
| Keywords: | Artificial Intelligence, Data Science, Machine Learning, Control Systems, Dynamics, Manufacturing, Mechanical Engineering, Computational Physics |