A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on the analysis of human behavioural data using cutting edge machine learning methods.
The post holder will be located in Central Cambridge, Cambridgeshire, UK.
The key responsibilities and duties are: conducting research in computational cognitive science, and taking part in other research-related activities (e.g. journal clubs) as well as teaching-related activities (e.g. supervisions).
The successful candidate will have a strong analytical background, demonstrable interest in computational cognitive science, and expertise with computational models of the brain or cognition, and have obtained (or be close to the completion of) a PhD in computational neuroscience, physics, mathematics, computer science, machine learning or a related field. Demonstrable research experience with one or more of the following: behavioural data analysis, Bayesian inference and learning, models of learning and memory. Preference will be given to candidates with previous experience in computational cognitive science, and sufficient programming skills to run numerical simulations (e.g. in C or MatLab).
Salary Ranges: Research Assistant: £25,298 - £30,175; Research Associate: £30,175 - £38,183
Fixed-term: The funds for this post are available for 12 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter, a statement of research interests and a research publication list in the Upload section of the online application. 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 submit your application by midnight on the closing date.
If you have any questions about this vacancy or the application process, please contact: Rachel Fogg, email email@example.com (Tel: +44 1223 332752)
Please quote reference NM12967 on your application and in any correspondence about this vacancy.
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