A research assistant position is available to work in the Prediction and Learning (PaL) Lab (www.lawsonlab.co.uk), Department of Psychology, University of Cambridge. The PaL Lab studies how learned expectations underlie individual differences in visual perception and decision making.
The research assistant will support a small team running eye tracking and pharmacology studies in healthy volunteers and participants with neuropsychiatric diagnoses (e.g. autism/anxiety). The role is best suited to someone with prior experience of testing clinical populations (e.g. in a previous RA position).
The PaL lab uses computational methods to understand brain function, and applicants should demonstrate strong mathematical literacy and knowledge (though not necessarily direct experience) of computational neuroscience.
The candidate should have a Bachelors or Masters degree in pharmacology/ computational neuroscience / mathematical psychology or similar. Familiarity with MATLAB, R, Python or comparable programming languages is desirable.
The post holder will be responsible for the design and conduct of behavioural, pharmacological and eye-tracking experiments with humans, recording and analyzing data and assisting with preparing the results for publication. The post holder will also recruit for and manage a clinical database of participants with autism, so some direct experience of working with autistic adults would be an advantage.
Fixed-term: The funds for this post are available for 1 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Informal inquiries about this post may be made to Dr Rebecca Lawson (firstname.lastname@example.org)
Please note the closing date for applications is 25 August 2019. Applications received after this time will not be considered.
Please quote reference PJ20282 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.