Visit www.acad.jobs with all Jobs for Academics!
                    
Position: PhD Student - Optimising MRI Magnetic Susceptibility Mapping Techniques for Structural and Functional Neuroimaging
Institution: University College London
Department: Medical Physics and Biomedical Engineering
Location: London, United Kingdom
Duties: 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. You will optimise QSM techniques for rapid structural and functional neuroimaging. You will develop sophisticated MRI pulse sequences for efficient acquisition throughout the brain. To test and optimise these sequences you will design and build physical imaging phantoms with materials of varying susceptibilities. You will also learn the latest QSM image processing techniques and develop new computational algorithms and pipelines for image analysis. The goal will be to optimise the new techniques and test them in healthy volunteers
Requirements: Applicants 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. Applicants must show a clear interest in magnetic resonance imaging physics, particularly as applied to neuroscience and healthcare. 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
   
Text: : PhD Studentship in ?Optimising MRI Magnetic Susceptibility Mapping Techniques for Structural and Functional Neuroimaging?, - Ref:1806792 Click here to go back to search results UCL Department / Division Medical Physics and Biomedical Engineering Location of position London Duration of Studentship 3.5 years Stipend ?17,280 per annum plus UK/EU Fees Vacancy Information The UCL Department of Medical Physics & Biomedical Engineering is inviting applications for a studentship in the area of Magnetic Resonance Imaging. The Department is proud to host internationally-leading research groups covering a broad range of activities and spread over several sites. 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. Our Department of Medical Physics and Biomedical Engineering holds an Athena Swan Bronze Award which recognizes and celebrates good practice and commitment to advancing women's careers in science, technology, engineering, maths and medicine (STEMM) in higher education and research. The award reflects our commitment to the advancement and promotion of diversity and equality. For further information please visit https://www.ucl.ac.uk/medical-physics-biomedical-engineering/about/athena-swan Studentship 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 with the goal of applying it in a proof-of-concept study in Alzheimer?s disease. Dr Karin Shmueli leads the MRI Group in the Department of Medical Physics and Biomedical Engineering. The group conducts cutting-edge research into MRI techniques to increase image contrast and resolution by exploiting new contrast mechanisms. Dr Shmueli pioneered MRI quantitative magnetic susceptibility mapping (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. Conventional MRI uses only the signal magnitude but using the phase of the complex MRI signal allows the underlying tissue electromagnetic properties (i.e. magnetic susceptibility) to be calculated. QSM overcomes disadvantages of phase images including their orientation dependence and non-local contrast and also gives insights into tissue composition. This is because the magnetic susceptibility depends on tissue iron and myelin content as well as calcifications and the oxygenation of haemoglobin. QSM techniques have developed rapidly over the past 10 years and are now finding increased clinical and neuroscientific applications. There is a need to optimise techniques to enhance structural and functional imaging. In this PhD project, supervised by Dr Shmueli, you will optimise QSM techniques for rapid structural and functional neuroimaging. You will develop sophisticated MRI pulse sequences for efficient acquisition throughout the brain. To test and optimise these sequences you will design and build physical imaging phantoms with materials of varying susceptibilities. You will also learn the latest QSM image processing techniques and develop new computational algorithms and pipelines for image analysis. The goal will be to optimise the new techniques and test them in healthy volunteers. Our overall research goal is to discover whether rapid, high resolution QSM reveals new, useful information about brain microstructure and function. This work will be carried out as part of a multidisciplinary team of physicists and in collaboration with 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 within local UCLH Hospitals. You may be expected to join our Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health) https://www.ucl.ac.uk/healthcare-engineering/training/study/epsrc-centre-doctoral-training-intelligent-integrated-imaging-healthcare-i4health Person Specification Funding will be for 3.5 years, with a tax free stipend of ?17,280 per year plus UK/EU-level university fees. Outstanding students from outside the EU may apply if they have funding to support international fees. The closing date is 31st May 2019 and the anticipated start date is 23rd September 2019 although this is flexible. Applications will be assessed on a rolling basis so please do apply as early as possible. Applicants 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. Applicants must show a clear interest in magnetic resonance imaging 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. Eligibility If you have any scientific queries please contact Dr Karin Shmueli at k.shmueli@ucl.ac.uk . Applications (including a covering letter, CV and names of two referees) should be sent to Dr Karin Shmueli, Medical Physics ( k.shmueli@ucl.ac.uk ) who will also be happy to handle any informal enquiries. Contact name Mohini Nair Contact details m.nair@ucl.ac.uk UCL Taking Action for Equality Closing Date 3 Jun 2019 Latest time for the submission of applications 5pm Interview date TBC Studentship Start Date 23rd September 2019
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.