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Postgraduate research project

OPTIMISE: Personalised care strategies for patients with cochlear implants via customised pathway modelling and prediction

Fully funded (UK only)
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
(View full entry requirements)
Faculty graduate school
Faculty of Medicine
Closing date

About the project

As a researcher on this project you will combine machine learning and stochastic modelling to improve healthcare outcomes with more effective resource management. You will develop a framework to characterise individualised patient pathways for people with auditory implants. The vision is to develop a transferrable model to improve patient outcomes.

You will use machine learning and stochastic modelling with real-world data from Southampton’s Auditory Implant Centre to predict the future hearing performance of individual patients. The goal is to develop an individualised model for each patient, which will underpin the design of personalised patient pathway management strategies. These will inform individualised timings of medical appointments and diagnostic tests for lifelong healthcare support for people with auditory implants and optimise resources. 

This project is part of an exciting partnership between The Centre for Operational Research, Management Science and Information Sciences – CORMSIS, the Faculty of Medicine and Southampton’s Auditory Implant Centre. 

Personalised health care delivery is one of the NHS's 5 major priorities for the next 10 years, with the potential to generate exciting research and job opportunities. You will work with a team of interdisciplinary researchers and be supported by experienced researchers in healthcare modelling. This is an exciting opportunity to develop your research skills with a singular analytical and problem-solving skill set. This will boost your employability prospects in an area of high demand.

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