Predictive Modelling of Airway Collapse in Diverse Phenotypes of Obstructive Sleep Apnoea
The Commonwealth War Graves Commission, Commemoration and International Relations
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Faculty |
Faculty of Science, Business and Enterprise |
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Academic Department |
School of Computing and Engineering Sciences |
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Studentship Type |
PhD Scholarship |
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Project Title |
Predictive Modelling of Airway Collapse in Diverse Phenotypes of Obstructive Sleep Apnoea: Towards Personalised Diagnosis and Treatment. |
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Duration |
5 years |
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Application Deadline |
6th January 2025 |
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Interview Date |
9th January 2025 |
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Start Date |
20th January 2025 |
| End Date | 19th January 2030 |
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Reference Number |
RA1581 |
Project Description
This 5-year part-time PhD project is going to enhance the understanding and treatment of obstructive sleep apnoea (OSA) by identifying distinct phenotypes of the condition based on physiological, and biomechanical parameters. It seeks to develop and validate predictive models to assess the risk of airway collapse in these different phenotypes and how different phenotypes respond to pre-event to facilitate early intervention and treatment. Additionally, the project will investigate how various OSA phenotypes respond to treatments such as Continuous Positive Airway Pressure therapy (CPAP), which is currently the first line therapy. The project is sponsored by University of Chester (UoC) and industrial partner Passion for Life Healthcare Ltd (PFL). The selected PhD candidate will half-time work at UoC’s School of Computing and Engineering Science, Medical school, and half-time work at the company of PFLH.
PFL has been involved in the OTC healthcare sector for 20 years with great reputation by not only delivering healthcare products but becoming experts in the chosen field with investing Innovation technologies.
Qualifications & Eligibility
The candidate should have the following skills and qualifications:
- You should have, or expect to shortly receive, a good undergraduate degree (at least a UK 2:1 honour degree, or Master degree in a relevant field such as Biomedical Engineering, Physiology, Electronic and Computing Engineering, Medicine, or a related discipline.
- Strong foundation in human physiology, biomechanics, or respiratory disorders. Familiarity with predictive modelling, machine learning, or statistical analysis techniques is highly desirable. Proficiency in research methods and data analysis tools (e.g., MATLAB, Python, or similar software).
- Previous experience in conducting independent research, preferably in areas related to sleep disorders, respiratory mechanics, or biomedical modelling.
- Demonstrated ability to analyse complex data and develop innovative solutions to scientific problems.
- Excellent written and verbal communication skills to prepare high-quality research outputs and collaborate effectively with a multidisciplinary team.
- A strong interest in advancing the understanding and treatment of obstructive sleep apnoea (OSA).
- Enthusiasm for contributing to translational research that directly impacts clinical practice.
- Additional Skills (Optional but Advantageous): experience with clinical trials or working with patients. Knowledge of Continuous Positive Airway Pressure (CPAP) therapy and other treatment modalities for OSA.
Funding Notes
Fees
The successful applicant will receive a bursary, to cover UK / EU fees up to 5 years part time. All fees due above the UK/EC rate will normally be paid by the Student.
Stipend
For the academic year 2025/26, the stipend will be £9,715 as determined by the National Minimum Doctoral Stipend specified by UKRI and will be subject to an inflationary increase (normally in line with increases in the UKRI National Minimum Doctoral Stipend) in October each year up to a maximum of a 4% increase per annum.
Supervisors
Prof. Bin Yang (70%)
Prof.Arpan Guha (30%)
Application Process
A completed University of Chester Postgraduate Research Degree application form including contact details of two referees. Candidates should apply online by clicking the button below and quoting reference number as above.
Further Information
Prospective applicants are encouraged to initially contact [Prof. Bin Yang, b.yang@chester.ac.uk, 0044-1244512521] to discuss the project further. For general enquiries contact Postgraduate Research Admissions, University of Chester at pgradmissions@chester.ac.uk