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</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'><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><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"'> BHeisele@hra.com [mailto:BHeisele@hra.com] <br><b>Sent:</b> Thursday, September 26, 2013 2:36 PM<br><b>To:</b> BHeisele@hra.com<br><b>Subject:</b> Three Openings in Computer Vision at Honda Research in Mountain View<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Dear Professor,</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>I would appreciate if you could forward this announcement to your students.</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Thank you very much!</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Regards <br>Bernd Heisele<br>__________________________________<br>Bernd Heisele<br>Honda Research Institute USA, Inc.<br>425 National Avenue, Suite 100<br>Mountain View, CA 94043<br>(650) 314-0411 (P)<br>(650) 314-0405 (F)<br>(857) 207-9470 (Cell)<br><a href="mailto:BHeisele@honda-ri.com">BHeisele@honda-ri.com</a><br><a href="mailto:bh@bheisele.com">bh@bheisele.com</a><br></span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</span> <br><br><b><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Internship: Detection of Occluded Objects Using Context Information (Job Number: P12INT03) </span></b><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><br></span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>DESCRIPTION:<br>The intern will be a part of the team working on a real-time driver assistant system that locates and recognizes objects. He/she will be working on the detection of partially occluded pedestrians and bicyclists using context information extracted from laser range data and video images. </span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><br>QUALIFICARTIONS:<br>Required: <br>- Currently enrolled in a Ph.D. program <br>- Research background in computer vision and machine learning <br>- Matlab, C++, Linux <br>Desirable: <br>- Cuda <br>- Experience in object detection <br>- Processing of laser range data <br><br>DURATION: 3 months, starting ASAP</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>APPLICATION: Submit application to </span><a href="mailto:interns2013@honda-ri.com"><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>interns2013@honda-ri.com</span></a><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'> clearly indicating the job number in the subject line.</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</span> <br><br><b><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Computer Vision Researcher in Scene Understanding (Job Number: P12F03)</span></b> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>POSITION DETAILS:</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>We are seeking talented candidates to start a new research project on vision-based driver assistance systems. The goal is to predict the movement and behavior of traffic participants in order to assess the risk of potential collisions. Understanding the basic 3D layout of traffic scenes including the type and location of all relevant objects together with the ability to learn the behavior patterns of traffic participants from examples will be crucial to this research project. As a member of the group we encourage the candidates to contribute new research ideas and to participate in presentations and scientific publications.</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>QUALIFICATIONS:</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Required: </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* A PhD degree in Computer Science, Electrical Engineering or equivalent</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* Strong background in computer vision and machine learning</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* Strong publication record</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* Excellent skills in C/C++, Linux expert</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Desired: </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* Experience with real-time vision systems</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>* Experience in implementing object recognition/detection algorithms</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>DURATION:</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Limited three year position with possibility of extensions or transition to a long term position at the company's discretion.</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>APPLICATION:Submit application to <a href="mailto:fulltime@honda-ri.com">fulltime@honda-ri.com</a> clearly indicating the job number in the subject line.</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</span> <br><br><b><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Software Engineer, Multi-Sensor Driver Assistance Systems (Job Number: P12T03) </span></b><br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>DESCRIPTION:</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>The successful applicant will be a part of a research team working on a real-time driver systems that locates, recognizes and tracks objects using laser range sensors and cameras mounted on an experimental vehicle. His/her responsibilities include developing software for recording synchronized sensor data on the vehicle, maintaining a calibrated sensor system, collecting data of traffic scenes with our experimental vehicle and the management/maintenance of the recorded sensor data. He/she will also be developing real-time software in collaboration with research staff to track objects in laser and video images supported by IMU data, vehicle odometry data, and GPS measurements.</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>QUALIFICATIONS:</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Required: </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Minimum of M.S. degree in Computer Science, EE or related fields </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Excellent C++ skills, </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Linux expert,</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Worked with camera and laser systems, </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Experience with large databases and large scale data processing</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Desirable: </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- CUDA programming</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Computer vision, specifically object tracking, </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Sensor fusion, </span><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Experience with camera calibration, synchronization, data acquisition</span> <br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>- Experience with reading data trhough CAN for GPS, IMU, and vehicle odometer</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>DURATION: 1 year</span> <br><br><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>APPLICATION: Submit application to </span><a href="mailto:career2013@honda-ri.com">career2013@honda-ri.com</a> <span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>clearly indicating the job number in the subject line.</span><o:p></o:p></p></div></body></html>