University of Huddersfield
6 months ago
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Fully Funded PhD in Patient-Specific Digital Twins for Optimising Airflow and Voice in Above-Cuff Vocalisation Using LES and Machine Learning University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship for 3 years full-time. Funding covers tuition fees and provides a tax-free bursary/stipend starting at £21,805 for 2026/27.
Deadline
Expired
Country
United Kingdom
University
University of Huddersfield
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Keywords
About this position
University of Huddersfield School of Computing and Engineering is advertising a fully funded PhD studentship starting in October 2026 in the area of patient-specific digital twins, fluid dynamics, computational fluid dynamics (CFD), Large Eddy Simulation (LES), machine learning, aeroacoustics, and healthcare engineering.
The featured project is “Patient-Specific Digital Twins for Optimising Airflow and Voice in Above-Cuff Vocalisation Using LES and Machine Learning.” It focuses on improving Above-Cuff Vocalisation (ACV) for tracheostomy patients by replacing trial-and-error clinical practice with predictive modelling. The project will use high-fidelity CFD/LES to simulate airflow and sound generation in anatomically realistic airways, then build machine-learning models to predict and optimise airflow and voice outcomes within a digital twin framework.
Funding: tuition fees plus a tax-free stipend/bursary starting at £21,805 per year for 3 years. The opportunity is open to UK and international applicants.
Eligibility highlights: a first-class or upper second-class honours degree (or equivalent) in Mechanical, Biomedical, Aerospace Engineering, or a closely related discipline. A relevant Master’s degree is desirable. Applicants should have a background in fluid mechanics and computational modelling; experience with CFD tools, numerical methods, and Python or MATLAB is advantageous. Interest in interdisciplinary research at the interface of engineering, AI, and healthcare is preferred. International applicants must meet the English language requirement noted on the scholarship page (IELTS 6.5 with no element below 6, or equivalent, unless recent UK study applies).
Application window: full application deadline is 15 May 2026. Shortlisted candidates are expected to be interviewed on 26–27 May 2026, and the scholarship page notes that shortlisted candidates will be contacted by 20 May 2026.
Supervisory team: Dr Hossein Fatahian, Professor Rakesh Mishra, Professor Leigh Fleming (University of Huddersfield), and Dr Rasool Erfani (Manchester Metropolitan University).
How to apply: email the full application to [email protected] with a motivational email naming the project, CV, transcripts/certificates, and proof of eligibility. Ask two referees to send references directly to the same email address.
Funding details
Fully funded PhD studentship for 3 years full-time. Funding covers tuition fees and provides a tax-free bursary/stipend starting at £21,805 for 2026/27.
What's required
Applicants should have a first-class or upper second-class honours degree (or equivalent) in Mechanical, Biomedical, Aerospace Engineering, or a closely related discipline. A relevant Master’s degree is desirable. Candidates should have a background in fluid mechanics and computational modelling, with familiarity with CFD tools, numerical methods, and programming in Python or MATLAB advantageous. Interest in interdisciplinary research at the interface of engineering, AI, and healthcare is preferred; prior clinical experience is not required. The broader scholarship page also notes that UK and international applicants are welcome, and international applicants must provide IELTS 6.5 with no element below 6, or equivalent English language evidence, unless they have studied in the UK within the past 2 years.
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Professors
Professor
United Kingdom
Research Interests
Fluid Mechanics
Energy Engineering
Thermal Engineering
Combustion Science
Cfd
Professor
United Kingdom
Research Interests
Fluid Mechanics
Computer Science
Aeroacoustics
Mechanical Engineering
Biomedical Engineering
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.