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PhD Studentship: Computational modelling of lung ventilation in patients with COVID-19

Wolfson School of Mechanical, Electrical and Manufacturing Engineering

About the Project

Reference number: FP-MK-2020
Start date of studentship: 01 April
Closing date of advert: 7 January 2021
Interview date: TBC

The significant burden of 2019 novel coronavirus (COVID-19) breakout is causing an impact on global society. Radiological analysis illustrates structure abnormalities, but COVID-19 symptom often poorly correlate with CT. Image-based computational modelling technique will provide a new strategy to treat COVID-19 patients by providing accurate assessments of lung function and deepen the understanding of medical images.

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.

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Full Project Detail:

This research project aims to create an effective computational modelling technique to provide regional lung ventilation assessments for patients with COVID-19 that will better correlate with symptoms and clinical lung function tests. The model will use conventional chest CT images and image analysis AI algorithm to enhance its patient-specific characteristics. This new computational tool to improve the clinical assessments and enable future clinical studies to diagnose functional changes secondary to treatment. 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.

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School of Mechanical, Electrical and Manufacturing Engineering (

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical Engineering, Biomedical Engineering, Computer Science, Physics 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 Under programme name, select ‘Mechanical, Electrical and Manufacturing Engineering’

Please quote reference number: FP-MK-2020

Contact details:

Name: Dr Minsuok Kim
Email address:
Telephone number: 01509 223544

Funding Notes

The studentship will provide a tax-free stipend of £15,285 p/a, plus tuition fees at the UK/EU rate (currently £4,407 p/a). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available.

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