Image Data Analyst

The University of Oxford is looking for a highly motivated and skilled Postdoctoral Research Assistant to join our dynamic and interdisciplinary imaging team. This position is part of an exciting programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney  and brain to support early disease detection, improve mechanistic understanding, and influence clinical practice.

We welcome applications from candidates with following backgrounds:

Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful.

You must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working with large datasets, and demonstrated ability to work independently and collaboratively, are an advantage.

Oxford offers an outstanding environment for research with access to state-of-the-art facilities and a vibrant academic community. We are committed to fostering an inclusive culture and welcome candidates from diverse backgrounds.

Interested candidates are encouraged to approach Prof. Betty Raman (betty.raman@cardiov.ox.ac.uk) for further clarification of the job role.

Application Process

If you would like further information about the role, please contact Betty Raman betty.raman@cardiov.ox.ac.uk. Interviews are expected to take place on July 30th or 31st .

Only applications received before midday on July 26th can be considered.

You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of your online application. In your supporting statement, please explain why you would like to do this role and how you meet the selection criteria in the job description.

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