[Mne_analysis] Postdoc Position in the Neurobiology of Language at University of Cambridge

[Barry Devereux]

Applications are invited for an experienced and enthusiastic cognitive
neuroscientist to work on an ERC Advanced Investigator grant on the
neurobiology of language comprehension using statistical language modelling
techniques on MEG neuroimaging and fMRI data-sets.

The applicant will join the Centre for Speech, Language and the Brain (at
the University of Cambridge http://cslb.psychol.cam.ac.uk), an
inter-disciplinary team led by Professor L.K. Tyler. The Centre has access
to a research-dedicated 3T Siemens MR scanner, and EEG and MEG facilities.
We currently use a variety of analysis methods on MEG data-sets, and in
particular multivariate analysis methods such as Representational
Similarity Analyses on MEG data.

Applicants must have a PhD in computer science, cognitive neuroscience or a
related discipline and an interest in language processing. Candidates are
expected to have advanced statistical skills, experience in statistical
language modelling and/or machine learning and excellent computer
programming (especially MATLAB and/or Python) skills. Experience of MEG
analyses, particularly in using multivariate neuroimaging methods for MEG
data and MEG source localization methods and knowledge of the neurobiology
of language processing are highly desirable. Relevant post-doctoral
experience is also desirable. Given the nature of the research, candidates
should be fully fluent in English.

Fixed-term: The funds for this post are available for 2 years in the first
instance, with the possibility of extension until 30 September 2020. Please
quote reference PJ14037 on your application and in any correspondence about
this vacancy.

Further information on the vacancy, and information on how to apply online
can be found here: http://www.jobs.cam.ac.uk/job/15786/

Informal enquiries can be made to Professor Lorraine Tyler (
lktyler at csl.psychol.cam.ac.uk). Please quote reference PJ14037 on your
application and in any correspondence about this vacancy.



The closing date for applications is *20 December 2017*.
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