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Computational model for lung ventilation and functional image analysis AI development


   Wolfson School of Mechanical, Electrical and Manufacturing Engineering

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  Dr M Kim  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The Wolfson School of Mechanical, Electrical and Manufacturing Engineering has seen 100% of its research impact rated as ‘world leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021).

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.

PROJECT DETAILS

Over the past few years, medical imaging has grown in popularity and emerged as the most effective tool for addressing global healthcare challenges. It remains unclear, however, why some patients experience significant illness symptoms despite normal lung imaging. Our research aims to tackle the burden of lung diseases such as COVID-19, COPD and Asthma using medical image-based computational modelling and a lung image analysis AI.

The computational model will elucidate the dynamic behaviour of respiratory flows, while the AI will interpret the lung images generated by the computational model and functional imaging modalities. These state-of-the-art tools supporting diagnostic assessment will enable clinicians to interpret lung images accurately, support treatment planning and may lead to new therapeutic interventions. This multidisciplinary research team project will require significant computational programming, modelling, and data analysis in close collaboration with medical imaging and clinical science research experts. The field of this project encompasses the areas of:

  • Mathematical/computational modelling
  • Software development
  • Artificial intelligence
  • Medical imaging.

Any student interested in pursuing a PhD in one of the above areas, or more broadly in Computational Biomedicine is welcome to apply.

SUPERVISORS

Primary supervisor: Minsuok Kim

Entry requirements for United Kingdom

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Biomedical Engineering, Mechanical 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, AI algorithm, Software development and Medical imaging.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

HOW TO APPLY

All applications should be made online. Under programme name, select Mechanical and Manufacturing Engineering. Please quote the advertised reference number P2SAM22-12.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

Apply now


Funding Notes

If awarded, the studentship is for 3 years and provides a tax-free stipend of £16.062 per annum for the duration of the studentship plus tuition fees at the UK rate. While we welcome applications from international students, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified end of October 2022.
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