<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">A post-doctoral Research Associate position in Computational Cognitive Neuroscience is available to work at the Adaptive Brain Lab, Univ of Cambridge, UK (<a href="http://www.abg.psychol.cam.ac.uk/" style="margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; color: rgb(65, 45, 93);" class="">http://www.abg.psychol.cam.ac.uk</a>).</p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">The position will focus on advanced computational approaches for modelling behavioural and multimodal brain imaging data (e.g. 7T brain imaging, EEG) including Bayesian modelling, machine learning approaches, reinforcement learning and deep learning. </p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">Research in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning. We address this challenge using an interdisciplinary approach that combines behavioural paradigms, multimodal brain imaging (MRI, EEG, MEG, TMS) and state-of-the-art computational methods. We apply these techniques to study the young and ageing brain and understand adaptive behaviours across the lifespan.</p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">The successful applicant will work with an interdisciplinary team to combine behavioural paradigms, with state-of-the-art brain imaging and computational modelling. They will receive multi-disciplinary research training at the interface between neuroscience, computer science, engineering and clinical applications. </p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">Applicants should have a PhD, Masters and/or First Degree, together with a strong academic track record, in a relevant area (e.g., Neuroscience, Mathematics, Engineering, Computer Science, Physics). Programming skills are highly desirable and experience with computational modeling and/or brain imaging preferable. </p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">Informal inquiries about this post may be sent to Prof Zoe Kourtzi (<a href="mailto:zk240@cam.ac.uk" style="margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; color: rgb(65, 45, 93);" class="">zk240@cam.ac.uk</a>). Please send your CV and a statement of research background and interests.</p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">Please note the closing date for applications is 12th September 2018. Please apply online: <a href="http://www.jobs.cam.ac.uk/job/18466/" class="">http://www.jobs.cam.ac.uk/job/18466/</a></p><p style="margin: 0px 0px 18px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; caret-color: rgb(68, 68, 68); color: rgb(68, 68, 68); font-family: Verdana, Tahoma, Geneva, sans-serif;" class="">Please quote reference PJ16436 on your application and in any correspondence about this vacancy.</p></body></html>