Research Associate in Decode

3 weeks ago


Loughborough, United Kingdom Loughborough University Full time

**Research Associate - in Systems Design/Human-Centred Design Research in Healthcare (Qualitative research)**

**School of Design and Creative Arts**
37 hours per week (12 months FTC- Subject to further funding)
- As part of the University’s ongoing commitment to redeployment, please note that this vacancy may be withdrawn at any stage of the recruitment _process if a suitable redeployee is identified._

Fashion and Textiles, Product Design and Graphic Design in the School of Design and Creative Arts at Loughborough University rank 1st in the Guardian University Guide 2023. Art and Design at Loughborough University ranks 2nd in the Times Good University Guide 2023, and the Complete University Guide 2023. Results of the 2021 Research Excellence Framework show that 100% of Loughborough University’s research impact in Art and Design is now rated as ‘world-leading’ or ‘internationally-excellent’.

**Data-driven, Machine learning-aided Stratification and Management of Multiple Long-term Conditions in Adults with Intellectual Disabilities - DECODE.**

DECODE is a 30-month research project funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) Programme. This project is led by Loughborough University (PI: Dr Gyuchan Thomas Jun, Professor of Socio-technical System Design) jointly with Leicestershire Partnership NHS Trust (joint PI: Dr Satheesh Gangadharan, Consultant Psychiatrist). Overall, the project team consists of fifteen co-investigators with expertise in the field of intellectual disabilities, neuropsychiatry, epidemiology, health data science, machine learning, data visualisation, human factors, qualitative research and ethics from eight institutions.

If you are a motivated and proactive individual who can engage with individuals, groups and vulnerable adults (adults with mild learning disabilities) with the relevant skills and qualifications, this is a great opportunity to join this research project and contribute to its success.

The closing date for this is **Tuesday 5 September 2023** at midnight.

Interviews will be conducted week commencing **25 September 2023.**

Further details available here.



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