<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 12 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:Wingdings;
panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:Tahoma;
panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
margin-bottom:.0001pt;
font-size:12.0pt;
font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
p
{mso-style-priority:99;
mso-margin-top-alt:auto;
margin-right:0in;
mso-margin-bottom-alt:auto;
margin-left:0in;
font-size:12.0pt;
font-family:"Times New Roman","serif";}
span.EmailStyle18
{mso-style-type:personal-reply;
font-family:"Calibri","sans-serif";
color:#1F497D;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
/* List Definitions */
@list l0
{mso-list-id:290207433;
mso-list-template-ids:-599633486;}
@list l0:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1
{mso-list-id:870411055;
mso-list-template-ids:1445504580;}
@list l1:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
ol
{margin-bottom:0in;}
ul
{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>FYI<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> Rogerio S Feris [mailto:rsferis@us.ibm.com] <br><b>Sent:</b> Wednesday, January 25, 2012 8:14 AM<br><b>To:</b> VisionList%IBMUS@us.ibm.com<br><b>Subject:</b> Computer Vision Internship at IBM T. J. Watson Research Center<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><p>The Exploratory Computer Vision Group is looking for a self-motivated student with strong system building skills and strong background in computer vision and machine learning. The internship will involve 1) building a large-scale learning software infrastructure for visual content modeling and 2) research activities, targeting top premiere computer vision conferences such as ICCV/CVPR/ECCV. Experience in one or more of the following topics are desirable:<o:p></o:p></p><p class=MsoNormal style='margin-left:.5in'>- Large-Scale Visual Learning<br>- Image Categorization and Object Localization<br>- Layered Learning of Semantic Concepts and Attributes<br>- Image Matching and Retrieval<br>- Application Areas: Biometrics, Multimedia Retrieval, Robotics, Video Surveillance<o:p></o:p></p><p class=MsoNormal><br>Requirements: <o:p></o:p></p><p class=MsoNormal style='margin-left:.5in'>- Strong programming skills in C/C++.<br>- Hands-on experience and understanding of state-of-the-art computer vision research<br>- Both MSc and PhD students will be considered<br>- Interns available for six or more months will be preferred<o:p></o:p></p><p class=MsoNormal style='margin-bottom:12.0pt'><br>Application:<br>Candidates should apply for the internship at:<br><a href="https://jobs3.netmedia1.com/cp/job_summary.jsp?job_id=RES-0458439">https://jobs3.netmedia1.com/cp/job_summary.jsp?job_id=RES-0458439</a><o:p></o:p></p></div></body></html>