PhD opportunities to transform healthcare through AI

50 fully-funded PhD researcher places to unlock the potential of Artificial Intelligence in medical diagnosis

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PhD opportunities to transform healthcare through AI

Our reputation

Over 85% of our research was rated as 'world-leading' or 'internationally excellent' - Research Excellence Framework 2014

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Our reputation

Research facilities

We have a wide range of facilities to support our teaching and research

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 Research facilities
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Research and innovation

Our research ranges, from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation.

We have an established reputation for delivering high quality research with over 85% of research activity rated as ‘world leading’ or ‘internationally excellent’ by the Research Excellence Framework 2014. We attract grants from UK Research Councils, government departments, the European Union and many industrial sources.

The School is home to a large community of committed and passionate research staff and students, accessing a range of facilities and working within dedicated research laboratories.

Collaborative links

We collaborate widely with industry (including, Shell, Rolls-Royce, Jaguar Land Rover, and Google), have many joint projects with one of Europe’s largest teaching hospitals (Leeds Teaching Hospitals NHS Trust), and have excellent connections with other leading researchers throughout the world.

We also have strong collaborative links with the Leeds Institute for Data Analytics and the EPSRC National Facility for Innovative Robotic Systems.

Our research

Our current research is carried out within the following research groups, that are led by staff who are internationally recognised leaders in their field.

Our research is broadly based, covering several areas of robotics and artificial intelligence. Through this diversity we play a leading role in the global trend towards the re-integration of artificial intelligence.

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This research covers both applications in Biology, Medicine and Health, and corresponding fundamental advances in computing.

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The discipline of algorithms and complexity theory attempts to categorise computational problems according to the efficiency with which they might be solved in the large scale.

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We explore emerging issues regarding the performance of infrastructure and systems in the generation of distributed/internet computing.

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Our research is centered on the analysis and implementation of fast, efficient, correct, and reliable numerical algorithms for physical problems, simulation, graphics, rendering, animation and visualization.

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We perform cutting-edge research in areas of fundamental and applied biomedical imaging and modelling.

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Research degrees

We are interested in the brightest and the best students from anywhere in the world to join our research teams.

We have a number of funded PhD projects and scholarships available including places within our UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care and our EPSRC Centre for Doctoral Training in Fluid Dynamics.

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Knowledge transfer

To broaden our channels of knowledge transfer to industry and public sector organisations we founded the Yorkshire Computing Network. Through this Network we welcome the cross-transfer of knowledge and information sharing. We also host community-building meetings.

Every week we run a Research Colloquium with speakers from within the School, other departments at the University and external organisations. Additionally, our Research Themes run research meetings and seminars focused on specific topics, again featuring speakers from the School, other departments and external organisations.