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Research Associate (Fixed Term)


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 comprehension using 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 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 datasets, and in particular multivariate analysis methods such as Representational Similarity Analyses.

Applicants must have a PhD in cognitive neuroscience, computer science, or a related discipline. They are expected to have knowledge of the neurobiology of language processing, 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 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.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Informal enquiries can be made to Professor Tyler (lktyler@csl.psychol.cam.ac.uk)

Please note the closing date for applications is 14th May 2018. Applications received after this time will not be considered. Interviews are likely to take place on Monday 21st May 2018.

Please quote reference PJ15288 on your application and in any correspondence about this vacancy.

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Further information

Apply online