Research Fellow in Healthcare Research
- Full Time
Department of Music & Media
Salary: £34,189 to £35,211 per annum
Fixed Term until 6th July 2019
Post Type: Full Time
Closing Date: Thursday 13 December 2018
Interview Date: Thursday 20 December 2018
We seek a Research Fellow in Healthcare Research, beginning January 7th 2019 for 6 months. They will conduct workshops with people with dementia and their families, exploring the role of sound recordings in triggering memories and altering mood. The work is part of the Sentimental Audio Memories for Dementia Care project, and will be carried out under the supervision of Professor David Frohlich of Digital World Research Centre. The successful candidate will have a background in health psychology, nursing, social care or gerontology, and an interest in the role of sound, media and the arts in mental health and wellbeing.
Digital World Research Centre is an interdisciplinary centre conducting new media innovation projects with social and cultural benefit. It is based in the Department of Music and Media but is physically hosted within the Centre for Vision Speech and Signal Processing.
The University of Surrey is a global university with a world-class research profile and an enterprising spirit. Inventive and forward-thinking, its heritage shows a recurring theme of going its own way, doing things differently – and achieving notable results. Surrey has ambitions to be one of the world’s leading universities and was recently voted University of the Year in The Times and Sunday Times Good University Guide 2016. The Department of Music was ranked 1st in the 2017 Guardian league table of UK Music Departments and 2nd in 2018 and 2019.
The Sentimental Audio Memories for Dementia Care project is funded by an EPSRC Impact Acceleration Account in partnership with Unforgettable who make products for people with dementia. It runs from January to July 2019. The research focusses on extending work on music therapy in dementia to natural sound recordings, for which the university has unique classification technology.
For further information contact Professor David Frohlich at firstname.lastname@example.org
For more information and to apply online, please download the further details and click on the 'apply online' button above.
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