Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.
Find out more:
http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/ Project detail
Medical imaging is a clinically established tool to assess structural or (and) functional abnormalities in a respiratory system. It may provide valuable information beyond the human senses. This research project aims to apply computational modelling techniques in the development of an AI algorithm to improve the medical image-based pulmonary disease diagnosis. The activities will require significant computational modelling and algorithm analysis in close collaboration with a world-leading medical imaging research group and a global industry partner. This research will give a unique opportunity to explore the multi-disciplinary fields of Science, Engineering and Healthcare technology.
Find out more: School of Mechanical, Electrical and Manufacturing Engineering (
https://www.lboro.ac.uk/departments/meme/)
Start date of studentship: 01 October 2020.
Entry requirements
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering, Computer Science, Physics, Chemistry or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Computational modelling, algorithm development, statistical data analysis, medical imaging.
How to apply
All applications should be made online at
http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Mechanical, Electrical and Manufacturing Engineering’.
Please quote reference number: SAM07
Funding Notes
Applicants who apply for this project will be considered on a competitive basis in March 2020 against candidates shortlisted for this and other projects with the advert reference beginning ‘SAM’. Early submission is advised, and a complete application must be received before the advert’s closing date.
If successful, candidates will be awarded a 3-year school studentship providing a tax-free stipend and tuition fees at the UK/EU rate (currently £15,009 and £4,327, respectively, in 2019-20 which are likely to rise by 2020/21). Non-EU-nationals may apply but the studentship will cover the cost of the international tuition fee only.
Successful candidates will be notified by 26 March 2020.
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