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Dear All,
*------------------------------------------------------------------------------* *UCL Queen Square Institute of Neurology* *Wellcome Centre for Human Neuroimaging* *(Senior) Research Fellow: Methods developer* *------------------------------------------------------------------------------*
We are looking for a post-doctoral researcher to join our Centre's Methods group. They will work on methodological research to *define, implement and deploy strategies for analysing high-resolution functional neuroimaging data* from ultra-high magnetic field MRI (7T or more).
Since 2019, in-house facilities of the WCHN include a 7T Siemens Terra MRI scanner with parallel transmission capability, providing access to functional and anatomical information about the human brain in vivo with very high precision, spatial specificity and interpretability. The Centre has pioneered many neuroimaging methodologies, including Statistical Parametric Mapping (SPM) and Dynamic Causal Modelling (DCM). The Methods Group specialises in the development of a broad range of image processing methods based on principled generative models of image data and statistical analyses aimed at interpreting neural signals, see: https://secure-web.cisco.com/1RvqauirtAxJCcs-7Od6J2PA2LtHdLol_vCiMkU73-5eXw3...
The appointee will engage in their own research projects with flexibility to shape their research directions, in line with the overall goals of the Centre. The developed methods will be made available to Centre researchers, as well as others in the international research community, through the widely used SPM software, which is developed in the Centre. Examples of possible projects include:
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Development and optimisation of analysis techniques exploiting 7T fMRI data to probe discrete units of neuronal computation such as layers, columns, stripes and small sub-nuclei;
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Development of generative models of anatomically-informed fMRI analyses, for layer-specific, surface-based investigation of cortical processing at 7T;
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Devising correction schemes to mitigate imaging artefacts caused by magnetic field inhomogeneities, motion and physiology;
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Development of a statistical framework for the multiple testing problem in the context of laminar-specific fMRI analyses.
The appointee will liaise closely with the Centre’s Methods, Physics and Computational Anatomy teams to provide solutions to challenges posed by ultra-high field imaging that integrate both acquisition and modelling strategies. Collaboration with neuroscientists from other disciplines working at the Centre is another important aspect of the role, including the provision of advice and guidance on best practice neuroimaging strategies.
The post is available immediately and is funded by a grant from the Wellcome Trust until 30 November 2023 in the first instance.
*For more details and to apply* see: https://secure-web.cisco.com/1t2MaOYrgLkW_hShDcCggJqa9Ch_Nws2t1cqNmaBmwOn2Lr... or search via UCL's online recruitment – _http://http://secure-web.cisco.com/1F2ZXVBlu8D8p3-Z2vJB5Jec86RkYm18T5oqSveYb... you can download a job description and person specification using ref: 1880942. For queries regarding the application process, please contact Oksana Shapoval, HR Officer, UCL Queen Square Institute of Neurology (email: _ion.hradmin@ucl.ac.uk mailto:ion.hradmin@ucl.ac.uk_). Informal enquiries to Dr Guillaume Flandin (email: g.flandin@ucl.ac.uk mailto:g.flandin@ucl.ac.uk)*.*
This is an ongoing recruitment campaign and we will draw down applications once per month to assess and interview. If you are interested in the role, *we encourage you to apply early*, when post has been filled, we will close the advertisement. We will draw down applications in: early January, February and March.
*Closing Date: 28 Feb 2022*