A Research Associate or Assistant position in Ultra-High Field Neuroimaging is available to work at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk) in collaboration with the 7T MRI Physics team at the Wolfson Brain Imaging Centre (WBIC) in Cambridge.
The successful applicant will gain experience developing novel methods for ultra high-field 7T imaging in close collaboration with Chris Rodgers and Guy Williams. They will play a key role in enabling new developments in Ultra-high field neuroimaging at the interface between two research groups (7T MRI group, Adaptive Brain Lab). They will also help the 7T MRI Physics group develop protocols and data analysis pipelines relevant to other users of the facility. Key interests for 7T MRI in Cambridge include cognitive neuroscience, and clinical applications in dementia, stroke, head injury, and neurodevelopment.
We have a wealth of equipment available for 7T MRI research in Cambridge. Our Siemens 7T Terra MRI scanner was installed in 2016. It runs the latest VE12U software, including the new single-host parallel transmit concept, which we are actively using for volunteer studies. We have 1H coils for scanning the brain (1Tx 32-channel Rx Nova and 8Tx 32Rx Nova) and knee, and eight different multinuclear coils for brain and body studies. We are embedded within Addenbrooke's Hospital, directly adjacent to neuro-critical-care, giving outstanding access to relevant patient cohorts. We have close collaborative links with the other UK 7T sites in Oxford, Nottingham, Cardiff, Glasgow and London.
Applicants should have a PhD or Masters and/or First Degree together with a strong academic track record in a relevant area (e.g., physics, chemistry, or engineering, or in another subject that provides a solid grounding in MR physics). Experience with pulse sequence programming, experience with high-field neuroimaging and a working knowledge of MRI/MRS physics are preferable. You must be able to pass the safety screening to work in the 7T MRI scanner environment. Prior programming experience is highly desirable and willingness to learn computer programming in C++, Matlab and Python is essential.
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Fixed-term: The funds for this post are available for 1 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
Informal enquiries should be directed to Prof Zoe Kourtzi (zk240@cam.ac.uk) or Dr Chris Rodgers (ctr28@cam.ac.uk)
Please note the closing date for applications is 27 January 2020. Applications received after this time will not be considered.
Please quote reference PJ21899 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Further information on the vacancy, and information on how to apply online, can be found on the University jobs website.