Research Assistant/Associate in Machine Learning for Imaging

Imperial College London Department of Computing

United Kingdom

Job summary

The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher) and was rated as "Excellent" in the previous national assessment of teaching quality. Imperial was also awarded “Gold” according...

Job listing information

  • Reference ENG01778
  • Date posted 1 July 2021
  • Closing date 1 August 2021

Key information about the role

  • Location South Kensington Campus (map)
  • Position type Full time, fixed term
  • Salary £36,045 – £48,340 plus benefits
  • Department Department of Computing
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher) and was rated as "Excellent" in the previous national assessment of teaching quality. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017.

The Biomedical Image Analysis (BioMedIA) group is a friendly, vibrant, multi-national team of around 50 academics, post-doctoral researchers and PhD students, pursuing research on novel computational techniques for the processing and analysis of biomedical images.

Topics of interest are image registration, reconstruction, segmentation and modelling. We use machine learning for the extraction of clinically useful information from medical images: for example, for computer-aided detection and diagnosis, computer-aided treatment planning, computer-guided interventions and therapy.

Duties and responsibilities

We are looking for an outstanding Research Assistant / Associate to join Dr Ben Glocker's team within the (BioMedIA) group, based at the South Kensington campus.

You will join Project MIRA, an ERC-funded project which is dedicated to advancing medical image analysis by developing a new generation of machine intelligence that uses powerful techniques of representation learning.

You will develop innovative image analysis and machine learning methods, and will work in the following areas: robust deep learning, causality in medical imaging, multi-task / multi-modal learning, geometric deep learning, Bayesian machine learning, generative modelling for clinical applications such as disease detection and semantic segmentation.

Essential requirements

    • Research Associate: A PhD degree (or equivalent) in Computer Science or a related field *
    • Research Assistant: A Master’s degree (or equivalent) in Computer Science or a related field
    • Knowledge of a broad range of techniques in medical image computing, machine learning and scientific programming. Experience in deep learning is an advantage.
    • Excellent oral and written communication skills, with a good publication record in relevant conferences or journals.
    • Ability to prioritise work to meet deadlines, and to work with minimal supervision.

For full list of requirements see job description.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £36,045 - £39,183 per annum.

Further information

Remote Work: Staff at Imperial College London, including research assistants, are following the present advice to work from home. All staff and students in the BioMedIA group are presently working from home. In view of the present situation we expect this arrangement to continue at least for the next few months.

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 evidence that demonstrates your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully considered.

Should you have any queries regarding the application process please contact Jamie Perrins by email at: j.perrins@imperial.ac.uk

For academic queries about the post please contact: Dr Ben Glocker (b.glocker@imperial.ac.uk).

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research


In your application, please refer to Polytechnicpositions.com

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