Senior Lecturer and Theme Lead in AI for Health

Summary:

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.

Your teaching load during the first three years of this position will be reduced to a maximum of 20% allocated workload, to ensure that you have capacity for leadership activities. The position is supported by a PhD studentship (UK fees and stipend for 3.5 years) and a generous start-up package for travel and equipment.

This role is supported by AI Futures Grants, a UK Government scheme designed to help the next generation of AI leaders meet the costs of relocating to the UK.  AI Futures Grants provide financial support to reimburse relocation costs such as visa fees, the immigration health surcharge and travel/subsistence expenses. Successful candidates for this AI Futures role may be able to get up to £10,000 to meet relocation costs, subject to terms and conditions, in addition to University of Sheffield relocation support. 

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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