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Data-Driven Defect Detection for Additive Manufacturing

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Data-Driven Defect Detection for Additive Manufacturing led by Dr Weibo Liu in the Department of Computer Science

Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).

You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.

The Project

This PhD project is on the defect detection of additive manufacturing (AM) components, which aims to develop a novel defect detection framework capable of evaluating the quality of an AM component via a data-driven pipeline. The focus of this project is: 1) developing deep learning algorithms for inline non-destructive testing; and 2) building a knowledge-based system on intelligent data analysis of various sensor data that could assist in the manufacturing of new components.

Please contact Dr Weibo Liu at Weibo.Liu2@brunel.ac.uk to find out more.

Eligibility

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in computer science, maths or related engineering subject. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.

Skills and Experience

This position requires strong computing, analytical and engineering skills supported by evidence of your previous activities and responsibilities. The key skills required are: 1) software programming (Python, C, C++, MATLAB or Java); 2) machine learning algorithms especially deep learning; and 3) statistics software packages. Experience in related industries is advantageous. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.

How to apply

Email the documents below as a single PDF file to cedps-studentships@brunel.ac.uk by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.

  • Your up-to-date CV;
  • Your 300-word personal statement setting out why you are suitable for this position;
  • Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
  • Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
  • Two references, one of which can be provided by a member of Brunel University academic staff.

Interviews will take place in June 2022.

Meet the Supervisor(s)


Weibo Liu - Dr. Weibo Liu received the B.S. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, UK, in 2015, and the Ph.D. degree in artificial intelligence in 2021 from the Department of Computer Science, Brunel University London, Uxbridge, UK. He is currently Lecturer in the Department of Computer Science, Brunel University London, U.K. His research interests include big data analysis, evolutionary computation, machine learning and deep learning techniques. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation. He is a very active reviewer for many international journals and conferences.