|Title: Post Doc - computer vision||Posted: November 9, 2013|
|Company/Institution: Carnegie Mellon University|
|Location: Pittsburgh, Pa, USA|
|Department: The Robotics Institute|
Description: The Navlab group at the Carnegie Mellon University Robotics Institute has immediate openings for two post-doctoral fellow positions.
The successful candidates will conduct research on projects that involve 3D reconstructions of scenes from images (uncalibrated stereo) and detection of traffic relevant objects like signs, lane paintings, road condition (dry, wet, snow covered), cars, etc. in millions of images. For some applications these reconstructions and detections need to be done live, in others they are done offline. In many cases additional information like GPS and orientation of the camera is available, as well as map information and models of objects. All these information need to be used to expedite the reconstruction and detection for live application and increase the accuracy and robustness offline. Among the applications are rapid 3D reconstruction of accident and crime scenes, inventory and monitoring of traffic infrastructure, and detection of deteriorating road conditions.
The Navlab consists of faculty members, research staff, post-docs, graduate students, and undergraduate students. The day-to-day supervision is done by Dr. Luis Navarro-Serment and Dr. Christoph Mertz. The group is managed by Prof. Martial Hebert.
The position is for one year, extendable to a second year upon mutual agreement.
Application Instructions: Qualification requirements: applicants must have an earned doctorate in Electrical Engineering, Computer Science, or a related discipline. Highly desirable skills include programming in Matlab and C/C++, knowledge of uncalibrated stereo, object detection, and machine learning.
Other experiences that are beneficial include: Linux, OpenCV, Point-Cloud-Library, ROS, GIS, OpenStreetMap, Google Earth/kml, Android programming, OpenCV on Android, python.
To apply, please contact Christoph Mertz (firstname.lastname@example.org) with your curriculum vitae, letter of application summarizing relevant research interests and accomplishments, and the names and contacts of three references. Put "PostDoc Application: 3D reconstruction and/or object detection" in the subject line.