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 using
statistical language modelling techniques on MEG neuroimaging and fMRI

The applicant will join the Centre for Speech, Language and the Brain (at
the University of Cambridge , 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 computer science, computational neuroscience,
cognitive neuroscience, or a related discipline. Candidates are expected to
have advanced statistical skills, and expertise in statistical language
modelling and/or machine learning, 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, 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 (
[log in to unmask]) or telephone 01223 766457.

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.