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 incremental language processing using MEG neuroimaging data.

The applicant will join the Centre for Speech, Language and the Brain (at the University of Cambridge http://cslb.psychol.cam.ac.uk). We currently use a variety of analysis methods on MEG and fMRI data-sets, and in particular multivariate methods such as Representational Similarity Analyses. One major current focus is to combine these methods with a variety of computational models [eg the new generation of transformer-based language models (BERT, GPT3), or RNN/LSTM models, to understand how they can illuminate our research going forward.

Applicants must have a PhD in cognitive neuroscience, 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. This is a 1 year post, starting as soon as possible.

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

If you have any queries regarding the application process please contact Fiona Lyall Grant who is responsible for recruitment to this position (hr@psychol.cam.ac.uk).

Please quote reference PJ26297 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.