Research Associate/Senior Research Associate in Machine Learning for Diabetes Self-Management
Division/School School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Contract type Open Ended
Working pattern Full or Part time
Salary £33,199-£37,345 (Grade I) £37,345-£42,036 (Grade J)
Closing date for applications 19-Mar-2019
This is an exciting opportunity to join an Innovate UK-funded digital health project. The successful applicant will lead co-design activities to develop a personalised 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 University of Bristol , and 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 and running a series of co-design workshops with a group of people with 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 and digital health publication venues.
The successful applicant will have experience in the participatory design or co-design of interactive systems, and a PhD (or be close to completing a PhD) in design, human-computer interaction, digital anthropology, or medical anthropology (or a closely related discipline).
You will have experience designing, running, and writing up qualitative research studies and have excellent pubic engagement and people skills.
This post is offered full or part time, open-ended contract with funding up to 17 months, starting 1 April 2019.
It is anticipated that interviews will take place shortly after the closing date.
Informal enquiries can be made to: Paul Marshall (email@example.com).
We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.
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