|Salary:||£35,333 to £42,155|
|Placed On:||2nd December 2022|
|Closes:||23rd December 2022|
Are you an ambitious researcher looking for your next challenge? Do you have an established background in Cognitive Neuroscience? Do you want to further your career in one of the UKs leading research intensive Universities?
We are looking to appoint a research fellow to make a leading contribution to a research project on the neuroscience of human decision making. The post will be based at the School of Biomedical Sciences at the University of Leeds.
The aim of this research is to characterise the brain networks implicated in the processing of multisensory information and the formation of perceptual decisions. To this end, the post-holder will record neuroimaging (EEG) and behavioural data and employ advanced single-trial multivariate analysis methods and computational modelling to unravel the neural dynamics and the computational principles underlying multisensory decision-making.
You must have a PhD (or close to completion) in Cognitive Neuroscience or a closely allied discipline; as well as experience in human neuroimaging experiments, EEG recordings and data analysis as evident by publications in international journals. You must also have working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python.
The University of Leeds and the Faculty of Biological Sciences are committed to providing equal opportunities for all and offer a range of family friendly policies. The University is a charter member of Athena SWAN (the national body that promotes gender equality in higher education), and the Faculty of Biological Sciences was awarded a Silver award in 2020. We are proud to be an inclusive Faculty that values all staff, and are happy to consider job share applications and requests for flexible working arrangements from our employees. Our Athena SWAN webpage provides more information.
To explore the post further or for any queries you may have, please contact:
Dr. Ioannis Delis, Lecturer
Tel: +44 (0)113 343 3075
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