Research Associate in Translational NeuroImaging
University College London - UCL-Medical Physics and Biomedical Engineering Translational Imaging Group
|Salary:||£34,056 to £41,163|
|Contract Type:||Contract / Temporary|
|Placed on:||28th September 2016|
|Closes:||30th October 2016|
The appointment will be on UCL Grade 7. The salary range will be £34,056 - £41,163 per annum inclusive of London Allowance, inclusive of London Allowance.
This is an exciting opportunity for a researcher with skills in medical image processing to join an internationally leading university research group. The overall aim of the project is to develop medical image processing pipelines to extract and analyse imaging biomarker from structural and functional scans in order to provide the evidence base to guide design of future clinical trials of secondary prevention in Alzheimer’s disease.
The post is based in the Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK and the successful applicant will work in close collaboration with the Dementia Research Centre, UCL Institute of Neurology, and the National Hospital for Neurology and Neurosurgery, Queen Square, London.
The post-holder will be part of a research programme dedicated to image biomarker discovery in autosomal dominant forms of Alzheimer’s disease. These imaging biomarkers will be targeting the quantification of regional atrophy, white matter damage and cortical grey matter thickness. The successful applicant will also be involved in the development of analytical pipelines to study morphological differences between populations. The project also includes nuclear imaging and requires the quantification of protein load in the brain as well as its changes over time. The post-holder will also be involved in the process of translating novel imaging methods for application to clinical research.
This post is funded by the Alzheimer's Society for 24 months in the first instance.
The successful candidate will have a 2:1 honours degree (or equivalent) in Computer Science, Engineering, Physics, Mathematics or a related subject and be able to demonstrate good software engineering skills. You will also have a postgraduate degree (PhD or equivalent) or equivalent industrial experience in scientific computing including numeral optimisation. They will also have demonstrated experience in medical image processing, clinical research and statistical analysis.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.If you have any queries about the post please email firstname.lastname@example.org.
Closing Date: 30 October 2016
Latest time for the submission of applications: 23:59
Interview Date: TBC
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