Research Associate in Co-Design for Diabetes Technology

Job number    ACAD104499
Division/School   School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Contract type   Fixed Term Contract
Working pattern    Full or Part time
Salary    £33,797 - £38,017
Closing date for applications    04-Mar-2020

This is an exciting opportunity to join an Innovate UK-funded digital health project. The successful applicant will lead qualitative research on co-design of a machine learning platform that leverages the individual rules of thumb that people with diabetes use to manage their own condition in the different situations they face every day: eating, activity, stress, travel, taking a day off, illness, menstruation, etc. 

This post is based in the Bristol Interaction Group (http://www.biglab.co.uk/) and Digital Health Engineering Group (http://www.bristol.ac.uk/engineering/people/group/research_group/5943) at the at the University of Bristol supervised by Dr. Aisling O’Kane and Dr. Paul Marshall. The work will be conducted in collaboration with the diabetes technology start-up Quin Technology (https://quintech.io/). The successful applicant will also work closely with a machine learning researcher, based in Bristol’s Intelligent Systems Group (https://intelligentsystems.bristol.ac.uk/) and supervised by Prof Peter Flach and Dr Raul Santos Rodriguez. 

The post will involve planning, conducting and analysing a qualitative study on the co-design of machine learning to support Type 1 diabetes. Video, audio and visual data will be systematically analysed using methods such as Interaction Analysis and thematic analysis. The results of these studies will be written up and submitted to top tier HCI publication venues. 

The successful applicant will have expertise in independently planning, conducting, analysing and writing up an interview study. They should have experience in conducting thematic analysis. They should have an interest in the participatory design or co-design of interactive systems. They should have a degree (or be close to completing a degree) in human-computer interaction (or a closely related discipline), or have used qualitative methods extensively in research. 

This post is offered full or part time, fixed term contract until 31 August 2020. 

Informal enquiries can be made to: Aisling O’Kane (a.okane@bristol.ac.uk)  

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.