We are seeking a postdoctoral research scientist with excellent analytical skills to join an exciting project using time-resolved human neuroimaging to study receptive language processing in non-speaking autistic individuals.
This post holder will be based in the Woolgar lab in the University of Cambridge and will collaborate with Dr. Laura Gwilliams at Stanford University.
This grant-funded project aims to apply time-resolved machine learning to EEG and MEG data collected from non-speaking autistic people and neurotypical people while they listen to an audiobook, in order to study the hierarchy of linguistic representation decodable from neural activity.
Minimum Requirements: Applicants should hold a PhD (or equivalent) in cognitive neuroscience or related field.
Strong analysis skills using Python and machine learning.
Experience of time-resolved neuroimaging (e.g., EEG/MEG) acquisition and analysis.
Knowledge of language research.
Research experience in the field of autism is desirable but not essential.
Fixed-term: The funds for this post are available for 20 months in the first instance.
We are committed to the engagement and retention of the best possible talent and to creating an environment that encourages excellence in scientific research by supporting and encouraging equality and diversity.
Candidates from minority groups and/or women are especially encouraged to apply.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload a covering letter and a CV in the Upload section of the online application.
The covering letter should outline how you match the criteria for the post and why you are applying for this role.
If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The closing date for applications is: 5th November 2024 The interview date for the role is: To be confirmed.
Please quote reference SU43745 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.
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