PhD Use of Wearable Technologies to detect Alterations of Behaviour in People at risk of Alzheimer’s Disease

Closing Date

5 Dec 2018

Address

Department of Clinical Neurosciences, University of Cambridge

Project Description

The aim of this project is to use apps based on wearable technologies, such as smartphones and smartwatches, to detect changes in functions that precede the onset of dementia, such as navigation and sleep. In collaboration with Cecilia Mascolo, Professor of Mobile Systems at the University of Cambridge, we have developed and piloted the use of several apps, and this project will involve implementation of these apps in cohorts at risk of AD, comparison of their diagnostic classification accuracy against currently used cognitive tests and app validation against established markers of disease such as MRI brain scanning. The successful student will be encouraged to investigate additional options for passive sensing of everyday behaviour. 

Applicants with a background in programming or computer science would be particularly encouraged.

Funding Notes

Funding deadline is 5th December 2018 for start in October 2019. When applying indicate on the application the funding options (GATES USA *deadline 10/10/18*, Gates Cambridge or other Cambridge Funders). Home/EU and International applications are all considered for funding. 
Further information can be found on our website here