The Centre for Machine Intelligence (CMI) at The University of Sheffield wish to recruit a Senior Lecturer (Grade 9, equivalent to Associate Professor) in AI for Health.
The CMI is a strategic initiative supported by a £3.64m investment, dedicated to the transformation and acceleration of research, innovation, and teaching on and with AI. This position is one of four academic theme lead appointments. You will work across the CMI and related institutes (the Insigneo Institute and the Healthy Lifespan Institute) for the first three years of the post, after which you will join a School in the Faculty of Health or Faculty of Engineering appropriate to your disciplinary background and expertise.
AI for Health is a key research theme at the University of Sheffield. The recent award of a £4m EPSRC Digital Health Hub offers many opportunities at the interface of AI and health technology, and the University has invested £1.6m in Data Connect, a service to broker access to health data for research. We have strong links with one of the largest NHS trusts in the UK – Sheffield Teaching Hospitals NHS Trust – and with the Sheffield Children’s NHS Foundation Trust. World-class research is undertaken on a broad range of areas including in-silico modelling, digital twins, cancer, cardiovascular disease, medical imaging, health economics/decision science, neuroscience, infection/immunity, and public health.
You will have a background in computational research with digital healthcare data, with a track record in machine learning/AI methodology and its application. You will have direct experience of interdisciplinary collaboration using data from across healthcare sectors. You will have the skills to provide leadership in AI and health, and to work with other theme leads and the Centre Director to ensure that the CMI is at the forefront of AI research, innovation, and impact, nationally and internationally.
More information and application:
https://www.jobs.ac.uk/job/DIG334/senior-lecturer-and-theme-lead-in-ai-for-health
