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Optimising MRI Magnetic Susceptibility Mapping Techniques for Structural and Functional Neuroimaging

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  • Full or part time
    Dr K Shmueli
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

We are looking for a highly motivated and talented student to develop magnetic resonance imaging (MRI) quantitative susceptibility mapping (QSM) techniques to advance structural and functional neuroimaging. The studentship, funded as part of Dr Karin Shmueli’s European Research Council Consolidator Grant, is part of an exciting research programme to develop a new, rapid imaging technique aiming to discover new information on brain microstructure and function.

Dr Karin Shmueli leads the MRI Group in the Department of Medical Physics and Biomedical Engineering. Dr Shmueli pioneered QSM and her group is now focused on developing and optimising QSM techniques for a variety of clinical applications, aiming to improve disease diagnosis and monitoring of therapies.

In this PhD project, supervised by Dr Shmueli, you will develop MRI pulse sequences and optimise QSM techniques for rapid structural and functional neuroimaging. You will design and build physical imaging phantoms to test and optimise these sequences. You will learn the latest QSM image processing techniques and develop new computational algorithms and pipelines for image analysis.
This work will be carried out as part of a collaborative, multidisciplinary team of physicists, biomedical engineers and clinicians. You will be based primarily within the Department of Medical Physics and Biomedical Engineering and carry out most of your MRI experiments using 3-Tesla MRI systems in local UCLH Hospitals.

The Department is proud to host internationally-leading research groups engaging in a broad range of activities. Our staff and students have a diverse range of interests and expertise, covering many areas of physics, engineering, medicine, physiology, computer science, and mathematics. This provides a highly stimulating multidisciplinary environment for learning and for scientific research.

You must have, or expect to obtain, a UK first class or 2:1 honours degree (or equivalent international qualifications or experience) in an appropriate Physics, Engineering or Mathematics based subject. You must show a clear interest in MRI physics, particularly as applied to neuroscience and healthcare. Experience in numerical computing and programming in languages such as Matlab or C/C++ will be advantageous. Other desirable skills include creative and critical thinking, excellent writing and communication skills, self- and time-management and a capability to work effectively both in a team and independently, and to take the initiative.

If you have any scientific queries please contact Dr Karin Shmueli at [Email Address Removed].
Applications (including a covering letter, CV and names and contact details of two referees) should be sent to Dr Karin Shmueli ([Email Address Removed]) who will also be happy to handle any informal enquiries and meet with interested candidates at the ISMRM Annual Meeting in Montreal (https://www.ismrm.org/19m/).

For further details, see http://www.ucl.ac.uk/hr/jobs - Reference number 1806792

Funding Notes

Stipend: approximately £17,280 per annum plus UK/EU Fees



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