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Dear all
I am delighted to announce a postdoc position in the Methods Group, which is led by Professor Karl Friston at the Wellcome Trust Centre for Neuroimaging, University College London. The post-holder will work with Prof Friston, Dr Guillaume Flandin and me on the development, validation and application of models of neural circuitry (Dynamic Causal Modelling, DCM), particularly for use with fMRI and multi-modal data. The post-holder will develop their own research area and publish in peer-reviewed journals, as well as contributing to the development of the SPM software.

The position is funded for 2 years in the first instance. Please see the advert below and full details at http://bit.ly/2x5sm4f  . The closing date is 29th September 2017.

Best
Peter

Peter Zeidman, PhD
Methods Group
Wellcome Trust Centre for Neuroimaging
12 Queen Square
London WC1N 3BG
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Research Associate, Ref:1667157

Wellcome Trust Centre for Neuroimaging
Grade 7, Full Time, Salary (inclusive of London allowance) £34,635 - £41,864 per annum

Duties and Responsibilities
The Wellcome Trust Centre for Neuroimaging (WTCN) seeks a Research Associate to join the Methods Group, which is led by Prof Karl Friston.  The post holder will contribute to the development and validation of fMRI and multi-modal (fMRI, EEG, MEG) analysis methods, with a particular focus on Dynamic Causal Modelling (DCM), which is a software framework for modelling neural circuitry in conjunction with neuroimaging data.  The post holder will conduct original research and publish in peer-reviewed journals, and will be expected to develop their own research area, as well as contributing to the development of the Statistical Parametric Mapping (SPM) software.  An important aspect of the role will be supporting researchers with their DCM analyses, and the post holder will provide training to researchers where needed.

The post is available immediately and is funded by a grant from the Wellcome Trust for two years in the first instance.

Key Requirements
Applicants must have an Honours degree in a numerate discipline (eg, computer science, mathematics, physics or engineering) and have, or be close to obtaining, a PhD or equivalent in neuroscience or a scientific discipline relevant to fMRI.  Strong statistical/mathematical knowledge and programming skills, excellent oral and written communication skills including the ability to communicate complex technical information to a broad community of researchers, and good inter-personal skills are also required.  Knowledge of Bayesian modelling techniques, familiarity with neuroscience and modelling neural systems, and experience of MATLAB are 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 with salary in the range £30,316 - £31,967 per annum, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis, including corrections.

Further Details
Full job description and application details can be found at: http://bit.ly/2x5sm4f