Senior Scampi Research Fellow (6 month Fixed Term)

City, University of London


City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.

City attracts around 20,000 students (35% postgraduate level) from more than 150 countries and staff from over 75 countries.

In the last REF, City doubled the proportion of its total academic staff producing world-leading or internationally excellent research.

Led by President, Professor Sir Paul Curran, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university: it has recently agreed a new Vision & Strategy 2026. Founded in 1894, City is celebrating its 125th anniversary this year. 

SCAMPI is an interdisciplinary project funded by the EPSRC to co-design and develop a new intelligent computer-based toolset that will help and support older people living with chronic conditions such as dementia and Parkinson’s to maintain quality of life. For the last two years, the project has developed the new toolset. The toolset enables a person to define a quality-of-life plan that enables it to monitor the person’s life and provide feedback so that the defined qualities are achieved. The toolset is now ready to be evaluated by people living in their own homes.

We are seeking a Senior Research Fellow to join us on a fixed term contract for 6 months. 


The Senior Research Fellow will be a critical member of the team to evaluate the SCAMPI toolset in the homes of people with dementia and Parkinson’s. Key responsibilities include regular visits to each older person in his/her home, liaising with each older person and family members, person-centred care for each person during evaluation activities, moderating the toolset’s recommendations for each person, collecting data about each person’s use of the toolset and how it impacts on their activities, and reporting on visit findings.

Person Specification

The successful candidate will be educated to degree level and will have experience of working with older people with chronic conditions that include dementia and Parkinson’s disease, familiarity and experience with qualitative research approaches, direct experience of data collection from older people, using observation and interview techniques, and be experienced with qualitative data analysis skills and techniques. The candidate might also have interest in/knowledge of digital technologies to support the lives of older people, familiarity with technology-supported care/home technologies, and knowledge of qualitative data analysis techniques.

Additional Information

City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

Closing date for applications: 11:59pm 19th May 2019

Interviews to be held on 30th May 2019

Actively working to promote equal opportunity and diversity

Academic excellence for business and the professions

How to Apply