Research Associate

We are excited to announce an opportunity for a Research Associate position in data sharing and artificial intelligence of clinical imaging trials within the Department of Radiology. The Department of Radiology is an internationally renowned imaging research team.

You will play a central role in the GUIDE-IT project, a global initiative led collaboratively on global scale, bringing together clinical and data scientists to build a comprehensive data-sharing platform for randomised medical imaging trials. This work will enhance clinical imaging data sharing, generate valuable insights into clinical effectiveness, and foster the development of AI-driven and quantitative imaging analysis tools. You will work closely with industry partners, scientists, and clinicians using state-of-the-art imaging technologies to advance quantitative AI-based characterisation, prognosis assessment of cardiovascular and cardiothoracic diseases.

You will contribute to internationally significant randomised imaging trials, including CAD-Man and DISCHARGE, which have resulted in high-impact publications (e.g., BMJ and New England Journal of Medicine) and thereby shaped international guidelines and advanced research in cardiovascular and cardiothoracic imaging. You will support ongoing and new multicentre imaging trials focused on improving the diagnosis, monitoring, and treatment of cardiovascular and cardiothoracic diseases.

You will be educated to degree level, with a PhD (or equivalent) in a relevant subject area (e.g. Medicine, Computer Science, Engineering, or Mathematics). Candidates who have submitted their PhD thesis but are awaiting award are also encouraged to apply. You will have some research experience with a developing track record of publications, and a strong foundation in software development, data analysis, image analysis software and quality assurance. You will also bring excellent presentation, teaching skills and be willing to take a leading role in supervising research students.

If you have a passion for advanced imaging research, data sharing, and collaborative science, we would love to hear from you 

Fixed-term: The funds for this post are available for 2 years in the first instance and an extension is possible based on funding.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and research publication list in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference RQ45601 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Closing date: 16 April 2025

Interviews: To be confirmed

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

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