<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"></head><body >FYI<div></div><br><br>-------- Original message --------<br>From: "Stork, David" <dstork@rambus.com> <br>Date:07/16/2014 4:58 PM (GMT-08:00) <br>To: "Stork, David" <dstork@rambus.com> <br>Subject: Job announcement: Please forward <br><br><div>Dear researcher,</div><div><div><br></div><div> Please distribute the below job announcement to your senior graduate students, post-docs, and others seeking a research position in computer vision, computational imaging, pattern recognition, machine learning, and related topics.</div><div> Many thanks in advance.</div><div><br></div><div><div><span class="Apple-style-span" style="font-size: 16px;"><span class="Apple-style-span" style="font-family: Calibri;"><font class="Apple-style-span" face="Calibri,sans-serif">–</font></span><span class="Apple-style-span" style="font-family: Calibri;"><font class="Apple-style-span" face="Times"><i>David G. Stork</i></font></span></span></div><div><span class="Apple-style-span" style="font-size: 16px;"><span class="Apple-style-span" style="font-family: Calibri;"><font class="Apple-style-span" face="Times"><i><br></i></font></span></span></div><div><img src="cid:_com_android_email_attachmentprovider_1_5679_RAW@sec.galaxytab" type="image/png"></div></div><div><br></div><div style="font-size: medium;"><div><p class="MsoNormal" align="center" style="font-size: 14px; text-align: center;"><span style="color: red;">---------------------------------------------------------------------------------------------------------------------------------------</span></p><p class="MsoNormal" align="center" style="font-size: 14px; text-align: center;"><span style="font-size: 18pt;"><font color="#7f0000">Computer vision and computational imaging researcher</font><o:p></o:p></span></p><p class="MsoNormal" align="center" style="text-align: center;"><span style="font-size: 16px;">Computational Sensing and Imaging Group</span></p><p class="MsoNormal" align="center" style="text-align: center;"><span style="font-size: 16px;">Rambus Labs</span></p><p class="MsoNormal" align="center" style="font-size: 14px; text-align: center;">Sunnyvale, CA<o:p></o:p></p><p style="font-size: 14px; line-height: 11pt;"><span style="font-size: 8pt; color: rgb(102, 102, 102); font-family: Verdana, sans-serif;"><br><br></span><span style="font-size: 8pt; font-family: Verdana, sans-serif;">Rambus Labs, the research arm of Rambus, Inc., is seeking research scientists and engineers to invent and support the development of new methods and systems for computational sensing and imaging. </span><span class="Apple-style-span" style="font-size: 11px; font-family: Verdana, sans-serif;">Rambus Labs has the explicit charter of performing research with a higher risk/higher reward properties than in most corporate research environments. </span><span class="Apple-style-span" style="font-size: 11px; font-family: Verdana, sans-serif;">The Computational Sensing and Imaging Group (CSI) within Labs has pioneered a number of innovations, including most recently the binary pixel image sensor and the PicoCam family of ultra-miniature application-specific imagers and sensors. CSI has an opening for a researcher in computer vision, computational imaging and image processing. As the team computer vision specialist, you will work with a small interdisciplinary research group (optics, VLSI design, optical system design, machine learning, statistics, algorithmics, etc…) inventing and patenting key technology and prototyping systems in application-specific sensing and imaging, including mobile computing. </span></p><p style="font-size: 14px; line-height: 11pt;"><span style="font-size: 8pt; font-family: Verdana, sans-serif;"><b>Responsibilities</b><br><br>• Keep abreast of research developments at professional conferences and journals, as well to present your results in these venues<br>• Invent and help obtain patents on our research results<br>• Help present our innovations to external corporate partners and customers, all in support of Rambus’ mission of driving broad market adoption of our technology<br><br>The ideal candidate will have demonstrated creativity in identifying and inventing new computer vision algorithms and end-user applications and have the following domain expertise and experience:<br><br>• A PhD in computer science, </span><span class="Apple-style-span" style="font-size: 11px; font-family: Verdana, sans-serif;"> electrical engineering, mathematics, physics or</span><span class="Apple-style-span" style="font-size: 11px; font-family: Verdana, sans-serif;"> imaging science; post-degree experience in industry or the academy is desirable</span></p><p style="font-size: 14px; line-height: 11pt;"><span style="font-size: 8pt; font-family: Verdana, sans-serif;">• Graduate-school level knowledge of still-image and video processing, pattern recognition and computer vision<br>• Knowledge of major methods of feature extraction, object recognition, 3D vision, tracking, …<br>• Demonstrated expertise in computer vision software tools and environments such as OpenCV, OpenGL, Cuda, GeForce, and graphics accelerators<br>• Strong research-level coding skills in <i>C</i>,<i> C++</i>, <i>Matlab</i>, <i>Mathematica</i>, etc.<br>• Ability to characterize and optimize the computational complexity of algorithms<br>• Strong mathematical skills, including linear and nonlinear analysis, optimization theory, transform theory, etc.<br>• Knowledge of statistics, estimation theory and Bayesian analysis<br>• Knowledge of basic computer graphics and optics is desirable<br><br>Candidates should have the following skills:<br><br>• Creativity and the ability to identify end-user applications and solve technical problems<br>• Excellent communication skills to technical and non-technical communities, both verbal and writing<br>• Ability to work both individually and as a team member<br>• Self-motivation, comfort in the fast-paced culture of Silicon Valley</span></p></div><div style="font-size: 14px;"><br></div></div><div style="font-family: Calibri; font-size: medium;"><font face="Verdana" size="2"><b><font color="#7f0000">To apply</font></b>: www.rambus.com/about/careers Job ID: 2675 or contact Dr. David G. Stork (<a href="mailto:stork@rambus.com">dstork@rambus.com</a>)</font></div><div><br></div><div style="font-family: Calibri; font-size: medium;"><font face="Verdana" size="2">Attached is a set of recent papers from the Computational Sensing and Imaging Group:</font></div><div style="font-family: Calibri; font-size: medium;"><div><div title="Page 1"><ol style="list-style-type: none;"><li><p><span style="font-family: Verdana; font-size: small;">[1] P. R. Gill and D. G. Stork, “Hardware verification of an ultra-miniature computational diffractive imager,” in</span><span style="font-family: Verdana; font-size: small;"> </span><i style="font-family: Verdana; font-size: small;">Computational Optical Sensing and Imaging,</i><span style="font-family: Verdana; font-size: small;"> (Optical Society of America, 2014), pp. CTu3C–4.</span></p><p><font face="Verdana" size="2">[2] D. G. Stork, “Joint optics/signal processing design for computational diffractive sensing and imaging,” in <i>Computational Optical Sensing and Imaging</i>, (Optical Society of America, 2014).</font></p></li><li><p><font face="Verdana" size="2">[3] D. G. Stork and P. R. Gill, “Reading QR code symbols with an ultra- miniature computational diffractive imager,” in <i>Computational Optical Sensing and Imaging</i>, (Optical Society of America, 2014), pp. CTu3C–5.</font></p></li><li><p><font face="Verdana" size="2">[4] D. G. Stork and P. R. Gill, “Lensless ultra-miniature CMOS computational imagers and sensors,” in <i>SENSORCOMM 2013</i>, The Seventh International Conference on Sensor Technologies and Applications, (2013), pp. 186–190.</font></p></li><li><p><font face="Verdana" size="2">[5] P. R. Gill, “Electronic imaging & signal processing enabling a computer to do the job of a lens,” <i>SPIE Newsroom</i>, <a href="http://doi.org/10.1117/2.1201309.005108" target="_blank">http://doi.org/10.1117/2.1201309.005108</a> (2013).</font></p></li><li><p><font face="Verdana" size="2">[6] P. R. Gill and D. G. Stork, “Digital camera with spiral odd-symmetry phase grating supports full-resolution computational refocussing,” in <i>Optical Sensors</i>, (Optical Society of America, 2013), pp. ST2B–4.</font></p></li><li><p><font face="Verdana" size="2">[7] P. R. Gill and D. G. Stork, “Lensless ultra-miniature imagers using odd- symmetry spiral phase gratings,” in <i>Computational Optical Sensing and Imaging</i>, (Optical Society of America, 2013), pp. CW4C–3.</font></p></li><li><p><font face="Verdana" size="2">[8] P. R. Gill, “Odd-symmetry phase gratings produce optical nulls uniquely insensitive to wavelength and depth,” <i>Optics letters</i> <b>38</b>, 2074–2076 (2013). </font></p><div><font face="Verdana" size="2"><br></font></div></li></ol></div></div></div></div></body></html>