[robotics-worldwide] Postdoc position: Carnegie Mellon Qatar

Peter Hansen phansen at qatar.cmu.edu
Wed Jan 9 14:53:53 PST 2013


Opening for a one-year postdoctoral fellow in the Qatar Robotics Innovation
lab at the Carnegie Mellon University campus located in Doha, Qatar. The
position is currently open with the earliest possible start date for the
chosen qualified candidate.

Our research group is looking for a talented researcher with experience in
Computer Vision and/or Machine Learning preferably applied to robot
perception problems. The postdoctoral position will involve work on two
projects built around visual SLAM for robot ground vehicles in urban
and industrial environments and for robot vehicles operating in pipe
environments. Experience with visual odometry (or structure from motion),
visual or lidar SLAM, object detection/classification/tracking, and/or
image retrieval is highly desirable. Experience with robot
perception systems is also highly desirable.

This work is part of a larger effort that involves both the Pittsburgh and
Qatar campuses to develop new robotics technology for the natural gas
industry. The position will involve work with Dr. Brett Browning, Dr. M.
Bernardine Dias, Dr. Peter Rander, and Dr. Peter Hansen. Our particular
focus is on developing technology that will enhance robots operating in oil
and gas facilities for inspection and maintenance tasks to improve safety
and productivity (e.g. www.rec.ri.cmu.edu/projects/shell).

Carnegie Mellon Qatar offers very competitive postdoctoral salaries with
numerous additional benefits due to the foreign campus location. The
position will also entail periodic travel to the main campus in Pittsburgh,
along with travel opportunities to conferences.

For more information on Carnegie Mellon Qatar, please visit
http://www.qatar.cmu.edu.
Carnegie Mellon is an equal opportunity employer.

Please send all resumes and references to:
Peter Hansen <phansen at qatar.cmu.edu>

-- 
Peter Hansen
School of Computer Science
Carnegie Mellon University in Qatar
tel: +974 4454 8638


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