Research Fellow in Digital Health and Clinical Artificial Intelligence

This is an exciting opportunity to be part of the cutting-edge, interdisciplinary Centre for Health Technology (CHT).  You will have the opportunity to work with colleagues specialising in digital health, software engineering, psychology, and health services research to deliver and contribute to evaluating and implementing innovative technologies, services, and approaches to transform health and social care.

In this post-doctoral fellowship, you will report to Dr Edward Meinert and collaborate with other internal and external researchers and industry.  Your primary role will be leading digital health research studies using artificial intelligence to develop and evaluate patient engagement tools.  These systems will support population health analytics and clinical decision support.  There will be an opportunity to participate in the design and development of these systems if you have the relevant technical skills.  There will be the opportunity to contribute to requirements analysis, product design and product management if you are from a non-technical background,.  You will lead the mixed-methods evaluation of the adoption, experience, impact, and sustainability of technologies evaluated by the research team.  This analysis will inform adoption in NHS clinical care pathways.  You will also support literature reviews and grant applications focused on evaluating the design, development, implementation and adoption of digital health and clinical artificial intelligence. 

• You will have a PhD in a relevant discipline, for example, computing science, software engineering, health services research, psychology, nutrition.
• You will have excellent communication skills, with a track record of published research appropriate to your level of experience.
• You will have the ability to work independently to solve problems and carry out high-quality research.
• You will have the ability to balance and prioritise a varied workload and work under pressure to meet deadlines.
• You are comfortable and have experience with working collaboratively and presenting research findings.

Please demonstrate how you meet the essential criteria outlined in the job description's knowledge, qualifications, training, and experience in your supporting statement.

For an informal discussion to find out more about the role, please contact Dr Edward Meinert by email edward.meinert@plymouth.ac.uk.

This vacancy will involve working with children and/or vulnerable adults and any appointment will be subject a Disclosure and Barring Service check.

We offer a competitive salary package and a generous pension and holiday scheme. We also offer a range of other benefits, including ongoing development opportunities.

Previous applicants need not apply.

A relocation package is available with this role.

This is a full-time position working 37 hours per week on a fixed-term basis for 2 years due to funding.

Interviews are likely to take place on Monday 17April 2023 and you will be notified if you have been shortlisted or not.

Closing date:  12 midnight, Sunday 2 April 2023

We particularly welcome applicants from under-represented groups at the University of Plymouth, such as BAME/BIPOC and LGBT+.

Staff appointed within the Faculty of Health may be able to join the NHS pension scheme subject to eligibility criteria.

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