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Research Associate in Imaging and Machine Learning in Cardiothoracic Disease

University of Sheffield - Faculty of Medicine, Dentistry and Health - Department of Infection, Immunity and Cardiovascular Disease

Location: Sheffield
Salary: £31,866 to £40,322 per annum. Potential to progress to £44,045 per annum through sustained exceptional contribution. (Grade 7.9)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th July 2021
Closes: 16th August 2021
Job Ref: UOS029315

Location: Academic unit of Radiology

Contract: Fixed-term for 12 months

We are seeking to appoint a Research Associate working in machine learning in cardiothoracic disease. This is a great opportunity for an individual with an interest in imaging and artificial intelligence to work in Academic Radiology at the University of Sheffield, a centre of excellence for cardiopulmonary imaging in pulmonary hypertension. This exciting post will see the Research Associate working with cutting edge AI approaches. The post is funded by the Wellcome Trust.

Candidates must have a PhD in imaging, imaging computation or machine learning submitted as well as prior study of medical imaging, quantitative analysis approaches or machine learning. Effective communication skills, both written and verbal, report writing skills and experience of delivering presentations are all essential. It’s crucial that candidates have the ability to develop creative approaches to problem solving and have the ability to analyse and solve problems with an appreciation of longer-term implications. Candidates must have machine learning, including deep learning CNN’s. Experience in the study of cardiopulmonary diseases, image processing, computational skills and coding are all crucial.

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 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. 

Follow @sheffielduni and @ShefUniJobs on Twitter for more information about what makes the University of Sheffield a remarkable place to work.

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