University of Oxford

University of Oxford

Postdoctoral Deep Learning Scientist for Cardiovascular Imaging

United Kingdom

Closing in 22 days

Postdoctoral Deep Learning Scientist for Cardiovascular Imaging

RDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU

We are seeking a highly motivated Postdoctoral Researcher to join the Division of Cardiovascular Medicine in close interaction with the Big Data Institute, and work closely with an interdisciplinary team of machine learning scientists, MR scientists (Prof. SK Piechnik) and cardiologists (Prof. VM Ferreira). Recent deep learning breakthroughs have provided a new perspective to rethink contrast enhancement in medical imaging. You will develop novel generative AI to enhance CMR without intravenous contrast, to detect myocardial pathologies (especially diffuse fibrosis) beyond the current diagnostic capabilities of cardiovascular imaging.

Your responsibilities will include making a significant contribution to deep learning methodology for cardiovascular imaging, by developing novel deep learning algorithms, especially deep generative models, to unveil and assess pathological signals in CMR imaging. You will also develop and implement the latest deep learning models for CMR imaging and data analysis, using programming languages such as Python, TensorFlow, Keras and PyTorch.

You are required to hold or be close to complete a higher degree (DPhil/PhD) in a relevant area of research and have strong deep learning and machine learning programming skills. Experience in CMR image processing, good understanding of CMR scanning protocols would be desirable.

This is a full-time appointment on a fixed term contract for 3 years funded by BHF and you will be based at the University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Oxford, OX3 9DU. You will also have access to computing resources, facilities and networking at the Oxford Big Data Institute.

Applications for this vacancy are to be made online; you will be required to upload a CV and supporting statement (up to 2 pages) which explains how you meet the selection criteria for the post.

Only applications received before 12.00 midday on 10th May 2024 can be considered. Interviews are scheduled take to place on 31st May 2024.

The University is an Equal Opportunity Employer

Contact Person : Harry Clarke Vacancy ID : 171827 Contact Phone : Closing Date & Time : 10-May-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected] Salary (£) : £36,024 - £44,263 per annum

Job details


Postdoctoral Deep Learning Scientist for Cardiovascular Imaging


University of Oxford


United Kingdom


March 26, 2024

Application deadline

May 10, 2024

Job type



Biology,Computer Science,Engineering,Medicine,Physics

About the employer

The University of Oxford is the oldest university in the English-speaking world, and is actually so ancient that its founding date is unknown – though it is thought that teaching took place there as early as the 11th century. It’s located in and around the medieval city center of Oxford, dubbed “the dreaming city of spires” by the 19th century poet Matthew Arnold, and comprises 44 colleges and halls as well as the largest library system in the UK. 

There are 22,000 students at Oxford in total, around half of whom are undergraduates, while 40 per cent are international students. A quarter of the city of Oxford’s residents are students, giving the city the youngest population in the UK. 

The University of Oxford does not have a main campus, its buildings and facilities instead being scattered around the medieval city center. Its colleges each have a distinctive character and traditions often dating back centuries. Colleges are self-governing institutions to which students usually apply directly. There are four academic divisions within Oxford University: Humanities, Mathematical, Physical and Life Sciences; Medical Sciences; and Social Sciences. The university’s particular strength is the sciences, and it is ranked number one in the world for medicine.

Oxford is a youthful and cosmopolitan city with plenty to see and do. There are dozens of historic and iconic buildings, including the Bodleian Libraries, Ashmolean Museum, Sheldonian Theatre, the cathedral, and the colleges themselves.  Students can choose to spend their time studying or avail themselves of the many extracurricular activities available. There’s a strong musical life at Oxford, with clubs and societies spanning all genres, from jazz, through to classical and folk. Oxford is also ranked highly for sport, with its top rowers taking part every year in the world-famous boat race with the University of Cambridge on the River Thames. Drama lovers are also well catered for, with one of the largest and most vibrant university drama scenes in the country.

Oxford has an alumni network of over 250,000 individuals, including more than 120 Olympic medalists, 26 Nobel Prize winners, seven poets laureate, and over 30 modern world leaders (including Bill Clinton, Aung San Suu Kyi, Indira Ghandi and 26 UK Prime Ministers). 

It has a friendly rivalry with Cambridge for the title of best university in the UK and is regularly ranked as being one of the top three universities in the world. Notable Oxford thinkers and scientists include Tim Berners-Lee, Stephen Hawking and Richard Dawkins.

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