Early Stage Researcher (ITN HYBRID ESR7) in Simultaneous PET/MR Cancer Imaging

King's College London - Biomedical Engineering

The salary will be £26,039 per annum, plus mobility allowance from £4,176 to £7,656 per annum.

This post will be Fixed Term Contract for 3 years

Modern medicine seeks to personalize diagnosis and treatment to the needs of individual patients. Personalized medicine approaches use non-invasive imaging to detect and characterize disease. While anatomical and molecular imaging systems have become a commodity, these systems have also grown complex. Complexity is further increased by the introduction of combined (hybrid) imaging systems, such as PET/CT, SPECT/CT or PET/MR.

In this context, the post holder will be integrated in HYBRID (www.hybrid2020.eu) and pursue a research project on Simultaneous PET-MRI to enhance quantification and change-detection in tumour assessment. The standardized uptake value (SUV), and related methods, are widely used for quantification of tumour radiotracer uptake in Positron Emission Tomography (PET) imaging. They can be used to determine how a tumour is responding to therapy so that treatment can then be adapted accordingly. Improved quantification of therapy response is expected to lead to more appropriate disease management and to achieve this we will develop and evaluate methods that use information derived from simultaneously acquired MR images, from a hybrid PET-MR scanner, in addition to the PET images themselves. The aim is to identify and quantify changes in tumour uptake in longitudinal PET studies, accounting not only for changes in tumour metabolism but also for potential inter-scan tumour growth or regression that may have occurred.

This position is a 3-year full time position as an early stage researcher (ESR) under the auspices of the HYBRID programme. The successful candidate will undertake a PhD and be part of an interdisciplinary research group investigating the feasibility, technical challenges and potential clinical value of multi-parametric imaging.

The selection process will include a presentation and a panel interview.

Interviews are scheduled to be held the week commencing: End Jan 2018

For an informal discussion to find out more about the role please contact Julia Schnabel Julia.schnabel@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 18 January 2018

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