<div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr">Please see the below</div><div dir="ltr">Best</div><div dir="ltr">Sonia<br><p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="Arial"><span style="font-size:12.6667px"><br></span></font></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:9.5pt;font-family:Arial"><span class="m_-2424541910607191355m_-782499214079223720gmail-il">Postdoctoral</span> Position: using computational visual neuroscience tools to study human cortical representation of real-world faces and emotional natural images.</span></b><span style="font-size:9.5pt;font-family:Arial"></span></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9.5pt;font-family:Arial">Institution: <i>University of California, Berkeley (Dept. Psychology and Helen Wills Neuroscience Institute).</i></span></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9.5pt;font-family:Arial">Applications are invited for a <span class="m_-2424541910607191355m_-782499214079223720gmail-il">postdoctoral</span> position in the <i>Affective Cognitive Neuroscience</i> Laboratory at the University of California, Berkeley. The position is for 2 years in the first place with possible extension to 3 years. It provides an exciting opportunity to work on a grant bringing advanced computational visual neuroscience approaches (in particular, multi-feature voxel-wise encoding models - <a href="https://www.ncbi.nlm.nih.gov/pubmed/20691790" target="_blank">https://www.ncbi.nlm.nih.gov<wbr>/pubmed/20691790</a>) to investigate (human) cortical tuning to structural and semantic face features and the emotional and semantic content of natural static images and video clips. The aim is to better understand the structure of representation of complex socially relevant natural stimuli (including static and dynamic faces and emotionally salient visual and audio-visual stimuli) and how this changes across cortex. Individuals with a background in visual neuroscience or in any area of computational neuroscience are encouraged to apply. Interest in affective neuroscience is desirable but previous experience with this field is not required.</span></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9.5pt;font-family:Arial">Candidates should have a PhD background in Neuroscience, Cognitive Science, or a related field. Proficiency in fMRI methods and/or computational modeling / machine-learning is highly desirable, as well as proficiency in programming languages (in particular MATLAB, ideally also Python). The candidate should have good interpersonal skills and a willingness to work in a collaborative environment. The position will be based at UC Berkeley but will also involve occasional trips to UT Austin where one of the study collaborators (Professor Alex Huth, <a href="https://www.cs.utexas.edu/new-faculty/alex-huth" target="_blank">https://www.cs.utexas.ed<wbr>u/new-faculty/alex-huth</a>) is based.</span></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9.5pt;font-family:Arial"> </span></p><p class="MsoNormal" style="font-size:12.8px;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:9.5pt;font-family:Arial">The position is available from September 1 2017, but the start date is negotiable. Interested applicants should email Sonia Bishop (<a href="mailto:sbishop@berkeley.edu" target="_blank">sbishop@berkeley.edu</a>); please include a CV with a brief description of your research interests, a brief paragraph description </span><span style="font-size:9.5pt;font-family:Arial">of why you feel you are a good fit for the project</span><span style="font-size:9.5pt;font-family:Arial">, and a brief paragraph description of your career goals. Additional information about the laboratory is available at:  <a href="http://bishoplab.berkeley.edu/" target="_blank">http://bishoplab.berkeley<wbr>.edu/</a>. Additional information about the project and other related research within the lab is available upon request.</span></p></div>
</div><br></div>
</div><br></div>