Job Description

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)

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.

The successful candidate will work closely with Professor Thomas Jun, who is the joint PI and work package 4 lead of DECODE. They will conduct research in the area of human-centred healthcare system innovation continuing some of the ongoing work streams in work package 4 (literature reviews and stakeholder interviews) and conducting a series of focus groups and stakeholder workshops using participatory system design approaches. The role will involve closely working with a team of researchers/PPIE leads/project manager including a learning disability nurse, a speech and language therapist, data scientists/engineers, a psychologist, an ethicist and psychiatrists. The desk space will be provided, but some remote desk-based work can be arranged. There will be opportunities to work with researchers/staff in six other consortiums in the NIHR AIM programme across the UK. The successful candidate will also have the opportunity to contribute to research outputs.

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.

Informal enquiries should be directed to Professor Thomas Jun, Project Investigator, via email to .

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

Interviews will be conducted week commencing 25 September 2023.

Further details available .

Visa Sponsorship:

For candidates who would require sponsorship to work in the UK to achieve sufficient points under the Points Based Immigration System, it is likely that you will either need to:

• Have completed a PhD in a subject relevant to the job.

OR

• Qualify as a \xe2\x80\x9cnew entrant\xe2\x80\x9d. For more information on this please see paragraphs SW 12.1 - SW 12.7 of the

.

Loughborough University is committed to allowing its employees to work dynamically with a combination of working on campus and remotely, where possible. This has been identified as a role that could work dynamically and, if successful, your line manager will discuss these informal arrangements with you. Please note that there is a general expectation that the successful candidate will spend the majority of time working on the Loughborough campus.

\xc2\xa333,966 to \xc2\xa344,263 subject to Annual Pay Award

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