Research Associate - The Aortic Dissection Charitable Trust

at  University of Sheffield

We have an exciting opportunity in the Information School at the University of Sheffield for an excellent Postdoctoral Researcher to work on a project funded by The Aortic Dissection Trust Charitable Trust (TADCT) ‘AORTA-AI: Rapid Acute Aortic Syndrome Diagnosis using Artificial Intelligence’ and on other health data science projects.
‘AORTA-AI: Rapid Acute Aortic Syndrome Diagnosis using Artificial Intelligence’ will develop a proof of concept machine learning model that can accurately predict AAS (Acute Aortic Syndrome) from routinely collected variables in existing data sets. The project is a collaboration between the University of Sheffield (Prof. Peter Bath; Prof. Steve Goodacre) and Leeds Teaching Hospitals (Dr. Jim Zhong, Interventional Radiologist) and other Universities. As a Postdoctoral Researcher working on this project you will develop, test and evaluate the machine learning models and will help to disseminate the findings through conference presentations and journal papers. You will also have the opportunity to work on other data analysis projects in consultation with Prof. Bath.
You will have – or be close to completing - a PhD (or equivalent) in health data science / data analytics, and you will have experience of using machine learning and statistical methods of analysis.
If you feel like you would be a good fit for the role, we would love to hear from you!
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. We particularly welcome applications from currently under-represented groups within the department, including candidates who are women, LGBT+, disabled and from Black, Asian and other Minority Ethnic backgrounds.
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.
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Please refer the Job description for details