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Position: Research Fellow
Institution: University College London
Department: UCL Queen Square Institute of Neurology - Department of Clinical and Experimental Epilepsy
Location: London, United Kingdom
Duties: Applications are invited for a postdoctoral Research Fellow position based in the Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, in close collaboration with the Department of Computer Science and Centre for Medical Image Computing (CMIC), under the supervision of Dr Beate Diehl and Dr Gary Zhang. The project investigates the autonomic and imaging characteristics of people with or considered at high risk of sudden unexpected death in epilepsy (SUDEP); The post holder will work on an NIH-funded multicentre project correlating MR imaging characteristics in people with epilepsy to the changes in the autonomic system measured interictally and during seizures during video EEG recordings. It draws on a large database of already acquired imaging and neurophysiological data. The core task of this role is analysis of advanced diffusion imaging scans in addition to high-resolution T1 imaging. The appointee will have the chance to be involved in the work on the Telemetry Unit at NHNN; respiratory parameters, ECG, respiratory and EEG characteristics during seizures are analysed and can be used as co-variates for imaging analyses, allowing the post holder an opportunity to work with such signals. An honorary clinical contract with UCLH NHS Foundation Trust will be sought, for which a DBS check will be required
Requirements: The successful candidate will have a PhD in a relevant area, or a medical qualification, or an allied health professional qualification and appropriate professional experience. Applicants must have experience in neuroimaging analysis, advanced diffusion analysis, and structural connectivity analysis based on MRI, and a publication track record commensurate with experience (for a post-doc at least one first author publication in a peer-reviewed journal). Previous experience with EEG and ECG based signal analysis techniques and published experience of research in neurology or epilepsy is desirable
   
Text: Research Fellow, - Ref:1872028 Click here to go back to search results Apply Now UCL Department / Division UCL Queen Square Institute of Neurology Specific unit / Sub department Department of Clinical and Experimental Epilepsy Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 per annum Duties and Responsibilities Applications are invited for a postdoctoral Research Fellow position based in the Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, in close collaboration with the Department of Computer Science and Centre for Medical Image Computing (CMIC), under the supervision of Dr Beate Diehl and Dr Gary Zhang. The project investigates the autonomic and imaging characteristics of people with or considered at high risk of sudden unexpected death in epilepsy (SUDEP). The post holder will work on an NIH-funded multicentre project correlating MR imaging characteristics in people with epilepsy to the changes in the autonomic system measured interictally and during seizures during video EEG recordings. It draws on a large database of already acquired imaging and neurophysiological data. The core task of this role is analysis of advanced diffusion imaging scans in addition to high-resolution T1 imaging. The appointee will have the chance to be involved in the work on the Telemetry Unit at NHNN; respiratory parameters, ECG, respiratory and EEG characteristics during seizures are analysed and can be used as co-variates for imaging analyses, allowing the post holder an opportunity to work with such signals. An honorary clinical contract with UCLH NHS Foundation Trust will be sought, for which a DBS check will be required. The post is available immediately and is funded from the NIH NINDS for nine months, or for the period to 31 July 2021, whichever is the shorter. Key Requirements The successful candidate will have a PhD in a relevant area, or a medical qualification, or an allied health professional qualification and appropriate professional experience. Applicants must have experience in neuroimaging analysis, advanced diffusion analysis, and structural connectivity analysis based on MRI, and a publication track record commensurate with experience (for a post-doc at least one first author publication in a peer-reviewed journal). Previous experience with EEG and ECG based signal analysis techniques and published experience of research in neurology or epilepsy is desirable. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,479 - £33,194 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. If the PhD has not yet been granted, the final accepted version of the thesis must have been submitted to the degree-granting university by the start-date in post. Further Details A Job Description and Person Specification can be accessed at the bottom of this page. To apply for the vacancy, please click on the 'Apply Now' button below. If you have any queries regarding the application process, please contact Miss E Bertram, HR Manager, UCL Queen Square Institute of Neurology (email: IoN.HRAdmin@ucl.ac.uk). UCL Taking Action for Equality Closing Date 14 Oct 2020 Latest time for the submission of applications 23.59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description Apply Now
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