This position will also be supervised by Dr Atul Anand.
About the Project
The Advanced Care Research Centre (ACRC) is an interdisciplinary, £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 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 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, social work, medicine and related health and care professions. This unique level of interdisciplinarity is a key attribute of our programme.
Understand and implement co-design practices to optimise smart AI and data driven health monitoring furnitures for different care applications.
- Explore co-design methods/techniques for sensor and system designs
- Determine the co-design method that is suitable for the proposed technology.
- Validation of co-design development methods for initial prototype(s).
This research programme will develop practical, care-driven, person centric technologies that are fit for people in later life and co-designed by people in later life. In particular, this means exploring and developing techniques to co-design existing unobtrusive sensors that have been created in WP 6 and optimizing its design and implementation based on the needs of end users.
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 are limited.
It is essential to read the How to Apply section of our website before you apply:
Please apply here:
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Candidates need to have a good degree in Electronic Engineering or Computer Science. Experience with sensor based systems and/or implementation of AI based embedded systems is desirable.
Prospective applicants could also have a good understanding of co-design methodologies, with a special interest in those with experience in incorporating co-design elements in developing technologies.
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.
The Academy aims to foster a supportive and collaborative culture, and welcomes candidates with diverse backgrounds and experiences.
You must read How to apply prior to application
Please Apply here