Research Associate

University of Cambridge - Department of Psychology

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. 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 fully fluent in English.

Informal enquiries can be made to Professor Tyler (lktyler@csl.psychol.cam.ac.uk) or telephone 01223 766457.

Further information may be downloaded via the University website.

Fixed term:  The funds for this post are available until 30 September 2020

To apply online for this vacancy and to view further information about the role, please visit:

http://www.jobs.cam.ac.uk/job/13468. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

Please quote reference PJ11959 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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South East England