<div dir="ltr"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;font-weight:700;vertical-align:baseline;white-space:pre-wrap">Topic</span><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">: Machine learning and deep learning for detecting manipulated images</span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">One postdoctoral position is available in the laboratory of Christopher Kanan at the Rochester Institute of Technology, in Rochester, NY (USA). The lab specializes in applying machine learning algorithms to solve problems in computer vision and related fields. The candidate will be responsible for developing new algorithms for the detecting manipulated and tampered images.</span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;font-weight:700;vertical-align:baseline;white-space:pre-wrap">Requirements</span><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">:</span></p><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">Ph.D. in computer science or related field;</span></p><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">A research record  in computer vision and/or machine learning;</span></p><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">Familiarity with deep learning</span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">The position is initially for one year, but is renewable upon strong performance for an additional year.  The salary is significantly above the typical postdoctoral market rate. Applications should be sent by email to (</span><a href="mailto:christopher.kanan@rit.edu" target="_blank" style="text-decoration:none"><span style="font-size:12.6667px;font-family:Arial;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">christopher.kanan@rit.edu</span></a><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">) and should include a CV, the expected data of availability, and contact information for 3 references. The starting date is September 2016. </span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap">I will be available to do interviews during <span class="">CVPR</span>-2016. </span></p><div><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap"><br></span></div><div><span style="font-size:12.6667px;font-family:Arial;vertical-align:baseline;white-space:pre-wrap"><div data-smartmail="gmail_signature" style="font-family:arial,sans-serif;font-size:12.8px;white-space:normal">--<br>Christopher Kanan, Ph.D.<br>Assistant Professor<br>Carlson Center for Imaging Science<br>Rochester Institute of Technology<br>Office 3140, Building #76<br><br><a href="http://klab.cis.rit.edu/" target="_blank">http://klab.cis.rit.edu/</a></div><div data-smartmail="gmail_signature" style="font-family:arial,sans-serif;font-size:12.8px;white-space:normal"><a href="http://www.chriskanan.com/" target="_blank">http://www.chriskanan.com</a></div></span></div></div>