Vacancy for a Research Assistant/Associate – Cardiac MR Image Reconstruction/Analysis and Machine Learning

Job summary

The BioMedIA group is part of the Department of Computing which is a leading department of Computer Science among UK Universities. Imperial College has the greatest concentration of high impact research of any major UK university, according to the Research Excellence Framework (REF) 2014. The Department of Computing us the only Department in the UK that has been rated consistently amongst the top three since the introduction of research assessments. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

We are seeking to appoint 2 Research Assistants/Associates to develop novel machine learning algorithms for the reconstruction and analysis of cardiac MR images. The successful candidate will join the EPSRC funded SmartHeart project, the next-generation of cardiovascular healthcare which uses integrated image acquisition, reconstruction, analysis and interpretation.

Duties and responsibilities

You will work with a wider community of computer scientists, cardiologist and medical imaging experts from leading hospitals and UK Biobank to develop medical image reconstruction and segmentation algorithms. You should be willing to get involved at all levels from image reconstruction and image analysis to clinical translation.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 – £34,040 per annum.

Essential requirements

To apply, you will need to have:

  • Expertise and special interest in image analysis with particular emphasis on cardiac magnetic resonance imaging (MRI).
  • At Research Assistant level a first-class undergraduate degree (or equivalent) in a relevant discipline with a particular interest in machine learning and computer vision.
  • At Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medical image reconstruction, medical image computing, computer vision or machine learning.
  • A proven track record in medical imaging.
  • All applicants must be fluent in spoken and written English.
  • You must have excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines.

Further information

You will be part of the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington campus in London. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see:

In addition to completing the online application, candidates should attach:

  • A full CV
  • A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant by email to: