Postdoctoral Research Associate in MRI Reconstruction and Machine Learning

King's College London - Biomedical Engineering

The salary will be paid at Grade 5 £32,548 or Grade 6, £33,518 - £39,992 per annum, plus £2,923 per annum London Allowance.

This post will be Fixed Term Contract for 3 years

This is a Full-time – 100% full time equivalent

The post holder is expected to be part of a team working to develop novel acquisition, reconstruction and motion correction techniques for 3D free-breathing whole-heart Magnetic Resonance Imaging (MRI). The post holder will be primarily responsible for developing and implementing reconstruction and machine learning techniques for multi-contrast 3D cardiac MRI, and designing and running validation experiments in phantoms, volunteers and patients. The post will use the infrastructure provided by the School of Biomedical Engineering and Imaging Sciences and will be based at St Thomas’ Hospital.

Located in the heart of London, King’s is the hub of a global network of strong academic connections and collaboration, with prestigious international partnerships within and across disciplines – scientific and medical, social and creative. King’s is investing in the highest calibre of talent to drive the university forward to achieve its greatest potential. The very best from the United Kingdom and across the globe are invited to join King’s. We are looking for a strong commitment to teaching and research, to push the boundaries of knowledge, influence the future and create a lasting impact.

The selection process will include a presentation and a panel interview

Interviews are scheduled to be held the week commencing: 12/02/2018

For an informal discussion to find out more about the role please contact Dr Claudia Prieto on +442071887188 ext 53209, or via email at claudia.prieto@kcl.ac.uk

To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.

The deadline for applications is midnight on end of 10 February 2018

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