HOR-INTERN-2021-02

Trustworthy Autonomous Systems for Healthcare

To apply, please complete the Internships Application Form

Closing date

Applications must be made before 15th October 2021 and are assessed on an ongoing basis.

Location

Based at the University of Nottingham and/or remote, reporting to Dr Liz Dowthwaite, this programme is administered by Horizon at the University of Nottingham as part of the Trustworthy Autonomous Systems to Support Healthcare Experiences (TAS for Health) and the TAS Test and Trace projects.

Proposed dates

This internship is available on a part-time basis from 10 hours per week, for a duration to be agreed on appointment, and is available for successful candidates to start as soon as possible. Please indicate your availability on the application form, where requested. Applicants must be able to work flexibly around the availability of participants as detailed below.

Overview

The purpose of this role is to support the facilitation and analysis of studies for two projects investigating the use of trustworthy autonomous systems (TAS) in healthcare and public health.

  • The Trustworthy Autonomous Systems to Support Healthcare Experiences (TAS for Health) project is a 12-month Agile project which began in March 2021 exploring how TAS embedded in the home can support decision-making about health and wellbeing. The project aims to integrate understandings of attitudes towards such technology across the potential spectrum of use, including patients, carers, and other service users. In particular, the project is looking at how decision-making relates to shared values, such as trust, self-efficacy, and privacy.

The successful applicant will help us to recruit and facilitate a series of 2-hour online workshops with up to 10 participants in each, the bulk of which should take place between October and December 2021. At least 2 workshops are to be carried out with each of four different groups, to examine attitudes towards the use of a smart mirror for monitoring day-to-day health: 1) people who have used technology to aid their health and wellbeing during lockdown; 2) people who have experience caring for or living with others with multiple sclerosis (MS), stroke, or similar conditions; 3) people with MS; 4) people who have had a stroke. The successful applicant will also be expected to help with analysis and reporting of the results.

  • TAS Test and Trace is an ongoing project examining the role of trust in the acceptance and use of the NHS Covid-19 app for contact tracing in the UK. We are now entering the third stage of the project, following initial interviews and a large-scale online questionnaire, which will consist of a series of online interviews; initially these will be with people who completed the questionnaire, to understand changes in attitudes and reasons for responses. They may continue with wider recruitment of participants from the general public.

The successful applicant will carry out the analysis of the interviews, overseen by other members of the project; they may also be expected to carry out some of the interviews alongside Dr Dowthwaite.

Who should apply?

Applicants should ideally have a degree in a subject which involves qualitative research methods and analysis, including but not limited to human computer interaction, social sciences, or human factors. Equivalent professional experience will also be considered.

Applicants must outline their area of interest, experience and skills. Information regarding Horizon, TAS and the TAS for health project, and Dr Liz Dowthwaite may be found at

http://www.horizon.ac.uk/

https://www.tas.ac.uk/

https://www.tas.ac.uk/research-programmes/agile-programme-2/trustworthy-autonomous-systems-to-support-healthcare-experiences/

https://www.nottingham.ac.uk/computerscience/people/liz.dowthwaite

https://dowthwaite.wordpress.com/

Required skills

  • Qualitative research methods including workshops/focus groups and interviews.
  • Qualitative analysis skills such as Thematic Analysis.
  • Ability to work independently as well as part of a small team.
  • Writing skills to support writing of reports and academic publications.

Desirable skills

  • Familiarity with running workshops and interviews online (eg through Microsoft Teams).
  • Familiarity with the concepts of algorithms, autonomous systems, and digital health

Eligibility and Financial Aspects

For postgraduate and undergraduate students, a casual wage of £425 per week (pro rata for part-time work) will be available, and this may be subject to tax deductions depending on the successful candidate’s circumstances and stipend stipulations.

In general, PhD students from The University of Nottingham are able to apply for part-time work within the hours allowed by the funding source. Full-time may be possible (up to 12 weeks) but please note that full-time positions are only available on the understanding the student suspends their stipend, this is due to the nature of the funding source. For overseas students a Visa must be in place, covering the duration of the internship.

Informal enquiries

Informal enquiries may be made to liz.dowthwaite@nottingham.ac.uk however applications should be made using the following weblink. Applications to this email address will not be accepted.

To apply, please complete the Internships Application Form