At a Glance
- Tasks: Develop a clinical decision support system using machine learning for high-flow nasal cannula therapy.
- Company: Join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group.
- Benefits: Receive a tax-free stipend of £21,805 and cover for UK tuition fees.
- Other info: Ideal for those passionate about mathematical modelling and real-world medical challenges.
- Why this job: Make a real impact in healthcare by improving patient treatment outcomes with innovative technology.
- Qualifications: Good 2.1 Bachelor's or Master's in Engineering, Computational Sciences, or Medical Sciences required.
The predicted salary is between 63000 - 77000 £ per year.
An opportunity exists to join the world-leading Interdisciplinary Collaboration in System Medicine (ICSM) Research Group to work on an industrially funded Ph D project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy.
The project: Concerns around the possible negative consequences of delayed escalation of treatment are a significant factor inhibiting the use of High Flow Nasal Cannula Therapy among some clinicians.
Using data from clinical collaborators around the world, this project will develop a user-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in their course of treatment [2,3].
This will increase confidence among clinicians that treating a patient with HFNC will lead to a positive outcome, and help them identify earlier patients who are failing on HFNC and need treatment escalation.
Key
References: [1] H.
Yu, S.
Saffaran, A.
Ali, C.
Henry, N.
Mustfa, A.
Thomas, A.
Rajhan, S.
Isrhad, L.
Weaver, R.
Tonelli, L.
Menga, Q.
Zhang, M.
Einollahzadeh Samadi, A.
Schuppert, J.
Laffey, L.
Camporota, A.
Esquinas, D.
Grieco, M.
Antonelli, L.
Martins de Lima, L.
Kawano-Dourado, I.
Maia, A.
Biasi Cavalcanti, E.
Clini, T.
Scott, and D.
Bates, "In-Hospital Testing of NIVPredict - An AI Tool for Early Prediction of Non-invasive Ventilation Outcome in Acute Respiratory Failure", Critical Care, 2026. pdf [2] H.
Yu, S.
Saffaran, R.
Tonelli, J.
Laffey, A.
Esquinas, L.
Martins de Lima, L.
Kawano-Dourado, I.
Maia, A.
Biasi Cavalcanti, E.
Clini, and D.
Bates, "Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure", Critical Care, 2025. pdf [3] H.
Yu, S.
Saffaran, R.
Tonelli, J.
Laffey, Q.
Zhang, A.
Esquinas, L.
Martins de Lima, L.
Kawano-Dourado, I.
Maia, A.
Cavalcanti, E.
Clini, and D.
Bates, "Evaluating the effect of heart and respiratory rate measurement errors on the ability to predict the outcome of high flow nasal cannula therapy: a multi-centre study", Critical Care, 2025. pdf
- Scholarship
- The award will cover the UK tuition fee level, plus a tax-free stipend, currently £21,805, paid at the prevailing UKRI rate for 3.5 years of full-time study.
- Eligibility: This studentship is available to home students only.
- The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences.
- This project will suit those with a keen interest in mathematical/computational modelling and simulation applied to real-world medical challenges.
Candidates must fulfil the University of Warwick entry criteria and obtain an unconditional offer before commencing enrolment.
Should your application for admission be accepted, you should be aware that notification of acceptance for the Ph D does not constitute an offer of financial support.
Successful scholarship candidates will receive an official communication from the School of Engineering to confirm their award.
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PhD Studentship: Development of a Clinical HFNC Decision Support System: Using Machine Learning[...] in Coventry employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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