Research Associate in Biomedical Image Analysis

Job summary

We are seeking to appoint a Research Associate for a collaborative project funded by the Wellcome Trust and EPSRC. The aim of the project is to artificial intelligence and machine learning solutions to discover and quantify markers of pathological retinal ageing and thus predict individual progression and conversion to late age-related macular degeneration (AMD). As part of the project we seek to answer two fundamental questions: (1) Can we...

Job listing information

  • Reference ENG00560
  • Date posted 12 April 2019
  • Closing date 13 May 2019

Job description

Job summary

We are seeking to appoint a Research Associate for a collaborative project funded by the Wellcome Trust and EPSRC. The aim of the project is to artificial intelligence and machine learning solutions to discover and quantify markers of pathological retinal ageing and thus predict individual progression and conversion to late age-related macular degeneration (AMD). As part of the project we seek to answer two fundamental questions: (1) Can we use machine learning to interrogate high resolution retinal OCT images identify and quantify early structural markers in the retina that discriminate pathological changes from healthy ageing and accurately classify AMD at a population level? (2) Can we utilise machine learning applied to generated from ophthalmic multi-modal imaging, genetic testing, functional parameters and patient history and demographics to predict the individual risk for progression to late AMD? The project will combine two important areas of technology to address the challenge of identifying progression and conversion to late age-related in order to improve outcomes for patients: AI and ML techniques and advanced imaging techniques.

Duties and responsibilities

You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing which is a leading department of Computer Science among UK Universities.

Essential requirements

Essential requirements:

  • A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computing or Engineering.
  • A strong computing or engineering background.
  • Proven knowledge and track record in several of the following areas: Machine learning, computer vision and medical image analysis (in particular segmentation, registration, feature analysis, modelling or visualization).
  • Practical experience within a research environment and / or publication in relevant and refereed journals.
  • Excellent programming skills.
  • Excellent oral and written communication skills.
  • Able to organise your work with minimal supervision and prioritise work to meet deadlines.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397 - £37,486 per annum.

Further information

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.

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

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Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.