*** Apply before 15 July 2018 ***
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), 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@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.
Link: http://www.jobs.cam.ac.uk/job/17848/