Research Fellow in Machine Learning for PPG Signals
Salary: £34,308 to £38,592 per annum
Post Type: Full Time
Closing Date: 23.59 hours GMT on Monday 02 January 2023
The aim of this multidisciplinary project is to develop a machine learning model which takes a photoplethysmography (PPG) signal as input and predicts the blood glucose level. If such an algorithm was included in a smart watch, then it would provide non-invasive continuous glucose monitoring which would be invaluable for diabetics.
Diabetics have to monitor their blood glucose levels several times a day. This is often done by pricking a finger to obtain a blood sample for analysis which only gives a measurement at a single point in time. Continuous blood glucose monitors are available, but they are invasive and expensive.
A photoplethysmography (PPG) sensor is non-invasive and is widely available in cheap wearable devices. This project aims to develop machine learning algorithms based on PPG signals, using the recently developed Symmetric Projection Attractor Reconstruction method, to estimate blood glucose levels. Including such an algorithm in a wearable device would offer non-invasive, continuous blood glucose monitoring that could revolutionise the management and control of diabetes and prediabetes, resulting in improved health outcomes for millions and a reduction in the huge cost of diabetic care.
Candidates should have:
- Completed their PhD or have submitted their thesis for examination
- Experience of mathematical and/or computational modelling in a physiological or biological context
- Excellent Matlab programming skills
- Excellent communication and presentation skills
The supervisory team for this project includes Prof Philip Aston (Mathematics, University of Surrey), Prof Christian Heiss (Clinical and Experimental Medicine, University of Surrey), Dr Manasi Nandi (Life Sciences and Medicine, King’s College London) and Nikhil Sehgal and Luis Felipe De Deus (Vastmindz).
For enquiries regarding this position, please contact Prof Philip Aston (P.Aston@surrey.ac.uk).
This is a Fixed Term Contract for up to 9 months.
Please upload your CV and a covering letter with your application.
Further details: Job Description
Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£33,314) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£34,308).