[Mne_analysis] Research post in Neurobiology of Language

[Kathy Purdy]

        External Email - Use Caution        

Applications are invited for an experienced and enthusiastic cognitive
neuroscientist with strong computational skills to work on an ERC Advanced
Investigator grant on the neurobiology of language processing using MEG
neuroimaging and fMRI data-sets.
The applicant will join the Department of Psychology, as a member of the
Centre for Speech, Language and the Brain (at the University of Cambridge
http://cslb.psychol.cam.ac.uk <http://cslb.psychol.cam.ac.uk/> ), an
inter-disciplinary team led by Professor Lorraine 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 and fMRI
data-sets, and in particular multivariate analysis methods such as
Representational Similarity Analyses.
Applicants must have a PhD in cognitive neuroscience, psychology, computer
science, or a related discipline. They are expected to have an interest in
the neurobiology of cognitive functions, advanced statistical skills, 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, are highly
desirable. Relevant post-doctoral experience is an advantage. 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.
For more information, and to apply online for this vacancy, please go to
http://www.jobs.cam.ac.uk/job/17848/ 
Informal inquiries can be made to Professor Tyler
(lktyler at csl.psychol.cam.ac.uk)
Please note the closing date for applications is 15 July 2018. Applications
received after this time will not be considered.
Please quote reference PJ15880 on your application and in any correspondence
about this vacancy.
The University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are
eligible to live and work in the UK.
 
 
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