Postgraduate research opportunities Physics-informed transfer learning for engineering asset management
ApplyKey facts
- Opens: Thursday 9 March 2023
- Deadline: Monday 31 July 2023
- Number of places: 1
- Duration: 36 months
- Funding: Home fee, Stipend
Overview
This research aims to develop a physics-informed transfer learning model for engineering asset management, by effectively incorporating domain knowledge of experts/engineers into the machine learning model to improve its explainability.Eligibility
1st class first degree and/or an excellent Masters-level qualification or overseas equivalent in a relevant computer science, management science, operations research, mathematics and statistics, and data science from a recognised academic institution. If English is not your first language you will also be required to provide a recent UKVI recognised secure English language test qualification (minimum overall band score of 6.5 with no individual test score below 5.5) or a university degree completed in a recognized English speaking country.
Project Details
This research aims to develop a physics-informed transfer learning (TL) model for engineering asset management, by effectively incorporating domain knowledge of experts/engineers into the TL model to improve its explainability. Specifically, expert judgement will be used to extract the domain knowledge that indicates the change of settings to improve the explainability and efficiency of TL models. The following four objectives will be achieved through the project.
- To investigate the nonstationary degradation processes of assets from multiple data sources through sensor fusion.
- To develop a physics-informed transfer learning model for degradation modelling, by effectively incorporating domain knowledge into the TL model.
- To develop an intelligent decision support tool for asset management decision-making.
- To deploy, evaluate and improve the proposed asset management framework in real industrial scenarios.
Funding details
Fully-funded scholarship for 3 years covers all university tuition fees and an annual tax-free stipend for UK students. International students are also eligible for the scholarship, but they would need to find other funding sources to cover the university tuition fee difference between the Home rate and the International rate. Exceptional international candidates may be provided funding for this difference.
Apply
Number of places: 1
There will be a shortlisting and interview process.
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Management Science
Programme: Management Science
Contact us
For further information, please contact:
- PhD supervisor: Dr Bin Liu, b.liu@strath.ac.uk
- Prof Matthew Revie, matthew.j.revie@strath.ack