Fully Funded EPSRC Engineering PhD Scholarship at Swansea University
- 4 years ago
Engineering: Fully Funded EPSRC PhD Scholarship: iCASE Artificial Intelligence and Machine Learning for MRI Magnet Manufacture
This Fully Funded EPSRC Engineering PhD Scholarship is funded by EPSRC CASE Award with Siemens Healthineers Magnet Technology.
Artificial intelligence (AI), machine learning (ML), and the broader umbrella of (big) data science, are buzzwords and have helped contribute to the global successes of companies like Google and Amazon. The data they collect using our Internet searches and Voice assistants (e.g. Alexa) are used to make predictions about our likes and dislikes, to make recommendations to us, to sell us products and services as well as to improve the efficiency of their own businesses. Given this success, it is no surprise that AI and ML algorithms (e.g. neural networks) have attracted the interest of engineering companies across the globe in order to use data they are already collecting to improve their products, their manufacturing processes and the services they provide to their customers.
This CASE award EPSRC PhD project will focus on AI/ML with the scope to make a real impact on the manufacturing process of a global leading company in the manufacture of MRI scanners, namely Siemens Healthineers.
The student will learn about the latest developments in AI/ML and apply these techniques to understand and improve the magnets, which form an integral part of the Siemens Healthineers’ MRI scanners. The aim is to understand which manufacturing processes, or circumstances, lead, in exceptional circumstances, to magnets that behave outside the normally expected performance parameters. Identification of suspected sensitivities in the magnet build from the ML analysis will be expected to be rolled in to changes within the factory. The successful applicant will be able to have a direct impact on the performance of MRI scanners produced by Siemens Healthineers.
This will be achieved through the following objectives:
The ideal candidate will have a strong interest in AI/ML/Data science coupled with an excellent engineering/physics background. The student should be educated to at least a bachelor’s level in Engineering/Physics/Mathematics or Computer Science with preferably a 1st class honours degree or a high 2:1 classification. Students with additional experience, for example in the form of a master’s degree or a year industry, are very much encouraged to apply.
Training in both AI/ML/Data science as well as MRI scanners will be provided, but existing expertise in computer simulation, programming, manufacturing is expected to be advantageous.
EPSRC rules mean that this studentship is only open to UK nationals or EU nationals who have been ordinarily resident in the UK for at least 3 years prior to the start of the scholarship.
Value of this Fully Funded EPSRC Engineering PhD Scholarship:
To be eligible for Fully Funded EPSRC Engineering PhD Scholarship, applicants must fulfil the following requirements.
How to Apply
To apply, please complete and submit the following documents to Dr P D Ledger ([email protected]):
Informal enquiries are welcome, please contact Dr P D Ledger ([email protected]/ +44 (0)1792 602554) or Professor A J Gil ([email protected] / +44 (0)1792 602552).
The deadline of Fully Funded EPSRC Engineering PhD Scholarship at Swansea University is 08 June 2020.
Fully Funded EPSRC Engineering PhD Scholarship at Swansea University is offered to Research Program , PhD degree.
Fully Funded EPSRC Engineering PhD Scholarship at Swansea University is offered for Subject Offered by University
Fully Funded EPSRC Engineering PhD Scholarship at Swansea University is open for: British
The Fully Funded EPSRC Engineering PhD Scholarship at Swansea University is offered by: Swansea University
The Fully Funded EPSRC Engineering PhD Scholarship at Swansea University covers Fully Funded Scholarships
The Fully Funded EPSRC Engineering PhD Scholarship at Swansea University can be taken at: United Kingdom