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Machine Learning and Data Mining for Manufacturing Self-healing Materials

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  • Full or part time
    Dr W Pang
    Prof G M Coghill
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

This fully funded (EU rate) PhD project is related to a recent EPSRC funded £2.7M project “Manufacturing Immortality”, which involves 7 partner universities and several industrial partners, including the Data Lab, CENSIS, Dstl, and National Nuclear Laboratory. The “Manufacturing Immortality” project has been recently featured on BBC Radio 4 Today and attracted both national and international interests.

Aberdeen’s role in the above project is to apply machine learning and data mining to facilitate the design and manufacturing of self-healing materials.

The successful applicant will develop novel machine learning and data mining algorithms, which could be potentially used to facilitate experiments by biochemists and material scientists and help the designers better understand user feedback and explore commercialisation opportunities of the material. In addition, the algorithms developed will have the potential to be applied to other fields, including engineering, biological, and social sciences.

This PhD project will be essentially a Machine Learning and Data Mining one, and the student will focus on the development and applications of computational algorithms. The manufacturing problem will be one application domain, but the student will not be restricted to explore the applications of machine learning in other problems.

The PhD student will join the system modelling and machine learning group in the department of computing science, Aberdeen university, a large research group consisting of 8 PhD students and two academics. One postdoctoral research fellow will also join the group soon to work on the same project. The PhD student will be co-supervised by Dr Wei Pang, Prof. George M. Coghill, and the research fellow. The student will benefit from a dynamic and encouraging research environment during the PhD study.

The successful candidate should have, or expect to have, a UK Honours Degree at 2.1 or above (or equivalent) in Computing Science or related discipline OR a UK Honours Degree at 2.2. ALONG WITH an MSc in Computing Science or related discipline.

It is noted that the application deadline is for indicative purpose only, and the position may be removed if a suitable candidate is found before the closing date. The start date of the project is 1 October 2018


This project is advertised in relation to the research areas of the discipline of Computing Science. Formal applications can be completed online: You should apply for Degree of Doctor of Philosophy in Computing Science, to ensure that your application is passed to the correct School for processing. Please ensure your application is submitted and complete by 12 noon on the closing date.

Funding Notes

The funding will cover Tuition fees at UK/EU rates which for 2018/2019 will be £4,260. A maintenance stipend of £14,777 will be paid, monthly in arrears. International applicants are welcome to apply but MUST be able to meet the difference between UK/EU and International Tuition fees from their own resources. For 2018/2019 this will be £14,140.

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