Post-doc position in MEG neuroimaging and statistical language modelling
Applications are invited for an experienced and enthusiastic computer scientist / cognitive neuroscientist to work on an ERC Advanced Investigator grant on the neurobiology of language comprehension, at the University of Cambridge. The focus will be on investigating the neurobiological properties of spoken language understanding, using MEG neuroimaging and statistical language modelling techniques.
The applicant will join the Centre for Speech, Language and the Brain (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.
Applicants must have a PhD in cognitive neuroscience, computer science, engineering, or a related discipline. Candidates are expected to have excellent computer programming (especially MATLAB and/or Python) skills, advanced statistical skills, and expertise in statistical language modelling and/or machine learning. 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 fluent in English.
Informal inquiries can be made to Professor Tyler (lktyler at csl.psychol.cam.ac.uk<mailto:lktyler at csl.psychol.cam.ac.uk>) or telephone 01223 766457.
Further details can be found at http://www.jobs.cam.ac.uk/job/13468/
The closing date is 18th May 2017.
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