Data- and process-driven monitoring of Activities of Daily Living to predict health outcomes

   School of Informatics

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  Dr P Papapanagiotou, Dr A Anand, Prof John Vines, Dr Phillip Whitehead  Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

 The Advanced Care Research Centre (ACRC) is a new, multi-disciplinary, £20M research centre at the University of Edinburgh. The ACRC will lead society’s response to the grand challenge of an ageing population that is growing in size, longevity and needs through the pursuit of research intended to deliver “high‐quality data‐driven, personalised and affordable care to support the independence, dignity and quality‐of‐life of people living in their own homes and in supported care environments”.

This project sits within the ACRC Academy , a dedicated Centre for Doctoral Training, co-located with the ACRC, whose students will deliver key aspects of the ACRC research agenda through a new doctoral-level research and training programme that will also equip them for careers across a wide range of pioneering and influential leadership roles in the public, private and third sectors.

The PhD with Integrated Study in Advanced Care is a novel, structured, thematic, cohort-based, programme of 48 months duration. Each PhD research project within the Academy has been devised by a supervisory team comprising academic staff from at least two of the three colleges within the University of Edinburgh. Each annual cohort of around twelve will include students with disciplinary backgrounds spanning from engineering and data science to humanities, social science, business and commerce, social work, medicine and related health and care professions. This unique level of diversity is a key attribute of our programme.



The aim is to build a data- and process-driven, long-term predictive model of health outcomes based on the monitoring of Activities of Daily Living (ADLs) of the target older population.


  • Data curation for ADLs working with actual users 
  • Investigation of links of ADL monitoring data to health indicators based on medical and empirical evidence 
  • Development of combined data- and process-based AI techniques for long-term prediction of deterioration 


The Internet of Things and modern smart homes offer us unprecedented insights in our daily activities and the means to improve and automate them. This project aims to exploit the available sensor data to help detect and predict health deterioration in older people. This involves collecting and curating real data, from sleeping and eating habits, to the speed of climbing the stairs. You will then employ and develop advanced process modelling techniques to capture daily routines and data-driven AI to predict long-term changes. The project requires a multi-disciplinary approach that incorporates relevant medical information and ethical considerations. 


We are specifically looking for applicants who will view their cutting-edge PhD research project in the context of the overall vision of the ACRC, who are keen to contribute to tackling a societal grand challenge and who can add unique value to – and derive great benefit from – training in a cohort comprising colleagues with a very diverse range of disciplines and backgrounds. We advise prospective candidates to engage in dialogue with the named project supervisor and/or the Director of the Academy prior to submitting an application. 


We are running a rolling recruitment process. We will assess applications on a monthly basis, and will continue to do so until our places are filled. The next deadline is 31 March, which will then be moved to 31 April, then 31 May, if places are remaining. 

You must read How to apply prior to application

Please Apply here

Computer Science (8) Medicine (26)

Funding Notes

PhDs are funded with an enhanced stipend for the full 4 year period.
The call is open to candidates of any nationality but funded places for overseas nationals will be strictly limited to 4 international students who can apply for the highly competitive ACRC Global Scholarship.
It is essential to read the How to Apply section of our website before you apply:,entry%20in%20September%202021.%20...%205%20More%20information
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