<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="">Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. One current project of particular interest is using machine learning, computer vision, and statistical techniques to model human face processing and representation, as well as face-based social cognition. </div><div class=""><br class=""></div><div class="">More broadly, Dr. Yu’s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include face processing, attention, active sensing, judgement and decision making, and social cognition.</div><div class=""><div class=""></div></div><div class=""><br class=""></div><div class="">Applicants should be committed to applying rigorous computational and mathematical tools to understand natural intelligence. Experience or interest in carrying out human behavioral experiments (either in person or on-line) and/or collaborating with neuroimaging/neurophysiology laboratories is desirable. Initial appointment is for one year, renewable for up to 2-3 years.</div><div class=""><br class=""></div><div class="">Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Halıcıoğlu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.</div><div class=""><br class=""></div><div class="">Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (<a href="mailto:ajyu@ucsd.edu" class="">ajyu@ucsd.edu</a>) with the subject “Postdoc Application”. Two or more letters of references should be sent directly by the recommenders to <a href="mailto:ajyu@ucsd.edu" class="">ajyu@ucsd.edu</a>. More information about Dr. Yu’s group can be found at <a href="https://www.cogsci.ucsd.edu/~ajyu" class="">https://www.cogsci.ucsd.edu/~ajyu</a>.</div><div class=""><br class=""></div><br class=""><div class="">
<div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">----------------------------------------------<br class="">Angela Yu<br class="">Associate Professor<br class="">Dept. of Cognitive Science<br class="">Halıcıoğlu Data Science Institute<br class="">UC San Diego<br class="">858-822-3317<br class=""><a href="http://www.cogsci.ucsd.edu/~ajyu" class="">http://www.cogsci.ucsd.edu/~ajyu</a><br class="">----------------------------------------------</div></div></div>
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