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(apologies for cross-posting)We
are looking for two post-doctoral researchers to join the
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: MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://www.fil.ion.ucl.ac.uk/methods/
The appointees 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:
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;
Development of generative models of anatomically-informed fMRI analyses, for layer-specific, surface-based investigation of cortical processing at 7T;
Devising correction schemes to mitigate imaging artefacts caused by magnetic field inhomogeneities, motion and physiology;
Development of a statistical framework for the multiple testing problem in the context of laminar-specific fMRI analyses.
The appointees 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
posts are available immediately and are funded by a grant
from the Wellcome Trust until 30 November 2023 in the
first instance.
Applicants must have a PhD (Senior Research Fellow) or, if not already held, the PhD must be obtained by the agreed start-date (Research Fellow applicants only) in a topic related to numerical computing and methods development. Strong programming expertise (e.g. MATLAB or C/C++) and experience with ultra-high field MRI are essential. Senior Research Fellow applicants must also have demonstrable experience in relevant areas of methodological development and of leading projects to completion.
Appointments will be on UCL Grade 7 (Research
Fellow), the salary for which ranges from £36,028 to £43,533
per annum (including London Allowance) or UCL Grade 8 (Senior
Research Fellow), the salary for which ranges from £44,737 to
£52,764 per annum (including London Allowance). 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 £31,542 - £33,257 per annum) with
payment at Grade 7 being backdated to the date of final
submission of the PhD thesis.
For more details and to apply see: MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://tinyurl.com/1ccxrc93 or search via UCL's online recruitment – MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be http://www.ucl.ac.uk/hr/jobs where you can download a job description and person specification using ref: 1874477. For queries regarding the application process, please contact Oksana Shapoval, HR Officer, UCL Queen Square Institute of Neurology (email: ion.hradmin@ucl.ac.uk). Informal enquiries to Dr Guillaume Flandin (email: g.flandin@ucl.ac.uk).
Closing
Date: 23 Feb 2021
-- Guillaume Flandin, PhD Wellcome Centre for Human Neuroimaging UCL Queen Square Institute of Neurology London WC1N 3BG