<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html charset=us-ascii" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: Arial;" class="">Post-doctoral position on Machine Learning in NeuroImaging<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align: justify;"><span style="font-family: Arial;" class="">A</span><span style="font-family: Arial;" class=""> <span lang="EN-US" class="">Post-doctoral position is available to work </span></span><span style="font-family: Arial;" class="">on machine learning applications in neuroimaging </span><span lang="EN-US" style="font-family: Arial;" class="">at the Adaptive Brain Lab, University of Cambridge, UK (</span><span style="font-family: Arial;" class=""><a href="http://www.abg.psychol.cam.ac.uk/" class="">http://www.abg.psychol.cam.ac.uk</a></span><span lang="EN-US" style="font-family: Arial;" class="">)</span><span style="font-family: Arial;" class="">.</span></p><p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: Arial;" class="">The position will focus on advanced computational modeling of behavioral and multimodal brain imaging data including convolutional networks, and machine learning approaches. The goal of this work is to model the healthy brain and develop applications for earlier diagnosis and intervention in cases of disease and dysfunction.</span><span class="MsoCommentReference"><span lang="EN-US" style="font-size: 9pt; font-family: Arial;" class=""></span></span><span lang="EN-US" style="font-family: Arial;" class=""><o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: Arial;" class="">Research in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviors. We address this challenge using an interdisciplinary approach that combines behavioral paradigms, computational modeling and high-field brain imaging (MRI, EEG, MEG, TMS). </span><span style="font-family: Arial;" class="">The successful applicant will combine machine learning approaches and state-of-the-art high field brain imaging. They will receive multi-disciplinary research training at the interface between neuroscience, computer science, and engineering.</span></p><p class="MsoNormal" style="text-align: justify;"><span style="font-family: Arial;" class="">Applicants should </span><span lang="EN-US" style="font-family: Arial;" class="">have or be close to obtaining a PhD, and have a strong academic track record, in a relevant area (e.g., Engineering, Computer Science, Mathemtatics, Neuroscience). Programming skills are essential and experience with computational modeling and/or brain imaging </span><span style="font-family: Arial;" class="">highly desirable</span><span lang="EN-US" style="font-family: Arial;" class="">.</span></p><p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: Arial;" class="">For informal enquiries please contact Prof. Zoe Kourtzi (<a href="mailto:zk240@cam.ac.uk" class="">zk240@cam.ac.uk</a>). Please include CV and a brief statement of research background and interests.</span></p></div></div><br class=""></body></html>