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<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif"><br></span></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><b style="font-size:11pt"><span style="font-family:"Times New Roman",serif">Application Deadline: December 1<sup>st</sup>, 2019</span></b><br></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif">Admission date:  September 1<sup>st</sup>, 2020</span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif">Xiao Lab website: </span><span style="font-family:"Times New Roman",serif"><a href="https://sites.google.com/site/beixiao/" target="_blank"><span style="color:blue">https://sites.google.com/site/beixiao/</span></a></span><span style="font-family:"Times New Roman",serif">)</span></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif">Degree in: </span><span style="font-family:Garamond,serif;font-size:11pt">Behavior, Cognition & Neuroscience
Graduate Program (BCAN)</span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Cambria,serif"></span></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><br></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif"> </span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-family:"Times New Roman",serif;font-size:11pt">Prof. Bei Xiao’s lab at the Department of Computer Science,
American University in Washington DC (</span><span style="font-family:"Times New Roman",serif;font-size:11pt"><a href="https://sites.google.com/site/beixiao/" target="_blank"><span style="color:blue">https://sites.google.com/site/beixiao/</span></a></span><span style="font-family:"Times New Roman",serif;font-size:11pt">)
is looking for highly motivated PhD candidates to work on human
and machine learning of material properties of objects in dynamic scenes. </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-family:"Times New Roman",serif;font-size:11pt"><br></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-family:"Times New Roman",serif;font-size:11pt">One project aims to develop machine-learning algorithms for material
perception from images and videos and <a>compare</a></span><span class="gmail-MsoCommentReference" style="font-family:Calibri,sans-serif;font-size:11pt"><span style="font-size:8pt;font-family:"Times New Roman",serif"> </span></span><span style="font-family:Calibri,sans-serif;font-size:11pt"><span style="font-family:"Times New Roman",serif">using
big datasets with large-scale human psychophysics</span></span><span style="font-family:"Times New Roman",serif;font-size:11pt">. </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-family:"Times New Roman",serif;font-size:11pt"><br></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-family:"Times New Roman",serif;font-size:11pt">Another project aims to understand how humans use <a>vision and haptics to learn physical
properties of objects in interactive VR/AR environments using game engines.</a></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><font face="Times New Roman, serif"><span style="font-size:11pt"><br></span></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><font face="Times New Roman, serif"><span style="font-size:11pt">The lab uses a combination of visual psychophysics, deep learning, computer
vision, game programming, graphics techniques, and VR/AR. The lab is located in a brand-new
building, which is home to computer science, applied math and statistics, and AU game labs.  </span></font><font face="Times New Roman, serif"><span style="font-size:11pt">The
lab is equipped with GPU-enabled high-performing computer clusters, several
VR/AR HMDs, a virtual tactile device (Geomagic Touch X), 3D printers, and
access to a prototyping space. The lab is a short distance from NIH and </span><span style="font-size:14.6667px">University</span><span style="font-size:11pt"> of Maryland </span><span style="font-size:14.6667px">College</span><span style="font-size:11pt"> Park. Washington DC is the US capital with high quality of living and has a
vibrant scene of neuroscience and vision </span></font><a style="font-family:"Times New Roman",serif;font-size:11pt">research.</a></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman",serif;font-size:12pt"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif;color:rgb(33,33,33)"> </span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif;color:rgb(33,33,33)">The candidate will pursue PhD
degree in an interdisciplinary brain and cognitive science program. The ideal
candidate is expected to have <b>strong technical background </b>and
have experience in at least one of the following methods: machine learning,
computer vision, image processing, computational neuroscience, human
psychophysics, computer graphics, and human cognition. Solid programming skills
are a plus. Prospective graduate students should contact Bei Xiao directly (<a href="mailto:bxiao@american.edu">bxiao@american.edu)</a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><br></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif"><br></span></p><p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif">More details about the graduate application for BCAN at AU
at can be found at:</span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif"><a href="https://www.american.edu/cas/psychology/behavioral/requirements.cfm" target="_blank"><span style="color:blue">https://www.american.edu/cas/psychology/behavioral/requirements.cfm</span></a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

<p class="MsoNormal" style="font-family:Calibri,sans-serif;margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt"><span style="font-family:"Times New Roman",serif">More details about Xiao lab:</span><span style="font-size:12pt;font-family:"Times New Roman",serif"> </span><span style="font-family:"Times New Roman",serif"><a href="https://sites.google.com/site/beixiao/" target="_blank"><span style="color:blue">https://sites.google.com/site/beixiao/</span></a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"></span></p>

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<div><div id="gmail-_com_1" class="gmail-msocomtxt"><p class="gmail-MsoCommentText" style="margin:0in 0in 8pt;font-size:10pt;font-family:Calibri,sans-serif"><br></p></div></div>

</div></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><font face="garamond, serif" size="2">Bei Xiao, PhD<br>Assistant Professor </font><div><font face="garamond, serif" size="2">Computer Science & Center for Behavioral Neuroscience</font></div><div><font face="garamond, serif" size="2">American University, Washington DC</font></div><div><font face="garamond, serif" size="2"><br></font></div><div><font><font face="garamond, serif" size="2">Homepage: <a href="https://sites.google.com/site/beixiao/" style="color:rgb(17,85,204)" target="_blank">https://sites.google.com/site/beixiao/</a></font><br></font></div></div><div><br></div><div><br></div><div><br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>