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Position: MEG Research Fellow
Institution: University College London
Department: UCL Queen Square Institute of Neurology
Location: London, United Kingdom
Duties: The successful candidate will join the UCL-Nottingham team developing human brain imaging methods using wearable MEG systems based on OPMs (optically pumped magnetometers). The appointee will be involved in all aspects of OPM research from data collection to analysis. The specific focus will be the development of enhanced generative models of brain function that can support the high signal to noise ratio and long-duration recordings available from these new sensors. This work will impact a number of on-going projects, from evaluating pre-surgical mapping approaches in epileptic patients, to cognitive neuroscience based hippocampal imaging, to advanced models of layer specific cortical dynamics
Requirements: Applicants should have a PhD in Physics/Biology/Computer Science or related discipline and expertise in modelling/simulation. A mathematical background is essential, as is experience in MEG/EEG and an excellent academic track record with evidence of independent creative work. Programming skills in matlab, python or related high-level language and strong practical and theoretical problem solving abilities are also required. Experience of MEG/EEG software packages and knowledge of volume conductor models are desirable
   
Text: MEG Research Fellow, - Ref:1802425 Click here to go back to search results Apply Now UCL Department / Division UCL Queen Square Institute of Neurology Specific unit / Sub department Wellcome Centre for Human Neuroimaging Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?38,303 per annum Duties and Responsibilities Applications are invited for a MEG Research Fellow in the Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, under the supervision of Professor Gareth Barnes. The successful candidate will join the UCL-Nottingham team developing human brain imaging methods using wearable MEG systems based on OPMs (optically pumped magnetometers). The appointee will be involved in all aspects of OPM research from data collection to analysis. The specific focus will be the development of enhanced generative models of brain function that can support the high signal to noise ratio and long-duration recordings available from these new sensors. This work will impact a number of on-going projects, from evaluating pre-surgical mapping approaches in epileptic patients, to cognitive neuroscience based hippocampal imaging, to advanced models of layer specific cortical dynamics. The post is available from June 2019, and is funded by a collaborative award from the Wellcome Trust to March 2022 in the first instance. Key Requirements Applicants should have a PhD in Physics/Biology/Computer Science or related discipline and expertise in modelling/simulation. A mathematical background is essential, as is experience in MEG/EEG and an excellent academic track record with evidence of independent creative work. Programming skills in matlab, python or related high-level language and strong practical and theoretical problem solving abilities are also required. Experience of MEG/EEG software packages and knowledge of volume conductor models are desirable. 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. 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 ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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 Samantha Robinson, HR Officer, UCL Queen Square Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: ion.hradmin@ucl.ac.uk ). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 8 May 2019 Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. 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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