Research Assistant

About the Role

This is an exciting opportunity for an early career researcher with experience in computer science, machine learning, artificial intelligence, data science, engineering or a closely related discipline.

You will work on the KIKOHOZI project to develop and test a cough sound analytic tool for respiratory disease detection (the Kikohozi classifier) and evaluate its feasibility for use in primary care in semi-urban and rural Tanzania.

You will be a member of the KIKOHOZI international research team based in the UK and Tanzania and will report regularly on progress and attend regular meetings with project partner groups.

For details on the experience and skills required, please refer to the job description (link here).

About You

The successful candidate will have a good honours degree and Master's/PhD degree, or equivalent research experience, in computer science, machine learning, artificial intelligence, data science, engineering or a closely related discipline. They should also have excellent (or capability to upskill) computing and programming skills in multiple languages and environments. Experience with machine learning and AI in biomedical settings would be considered favourable.

You will also need a problem-solving ability to manage and analyse datasets and the ability to publish academic outputs.

The interviews will be held on: To Be Confirmed

Closing Date: Sunday 18 October, 11:59 pm (UK) 

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the 'Apply' button.

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