Research Assistant /Associate – Biomedical Image Analysis and Machine Learning

Imperial College London - Department of Computing

Research Assistant salary range: £32,380 to £34,040 per annum
Research Associate salary range: £36,800 to £44,220 per annum*

Fixed Term appointments up to 31 August 2019

The Biomedical Image Analysis Group (BioMedIA) 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. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

The mission of the BioMedIA group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see:

We are seeking to appoint a Research Assistant/ Associate to develop image analysis tools as well as machine learning tools for the Developing Human Connectome Project (dHCP – dHCP develops and applies novel, cutting-edge magnetic resonance (MR) methods to record structural and functional cerebral connectivity during early life, creating the first mapping of the developing human macro-connectome.

The successful candidate will help improve existing tools for image analysis and segmentation (including parcellation and cortical surface reconstruction) as well as contribute to the development of novel deep learning-based tools to process and analyse neonatal and fetal brain MR images. In addition to structural MR imaging, the dHCP project also acquires diffusion and functional MRI so expertise in the analysis of diffusion/functional MRI and/or brain connectivity would be useful.

To apply, you will need to have:

  • Knowledge of a broad range of techniques including medical image computing, computer vision or machine learning
  • Preference will be given to applicants with a proven track record in medical imaging and excellent programming skills
  • Excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines.
  • At Research Assistant level you will need to have a good (1st or 2.1) undergraduate degree in a relevant discipline with a particular interest in medical image computing, computer vision or machine learning.
  • 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 computing, computer vision or machine learning.

*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.

How to apply:
For further details on this opportunity visit our Jobs website and search using vacancy reference number ENG00218. 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:

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Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people

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