[robotics-worldwide] [Jobs] Immediate Post-doc Openings in Robot Vision

Cang Ye cxye at ualr.edu
Fri Nov 1 17:32:24 PDT 2013


The Intelligent Autonomous Systems Lab (http://www.ualr.edu/cxye) at the
University of Arkansas Little Rock has an immediate opening for a
post-doctoral fellow position. The successful candidate will conduct
research on 6-Degree-Of-Freedom SLAM, 3D mapping, and/or 3D point cloud
processing for autonomous navigation of a mobile robot using a 3D
Time-Of-Flight (TOF) camera. The project team, consisting of faculty
members, post-doc, graduate students, and undergraduate students from three
campuses in Arkansas, will work on a wide range of research problems on
robot vision and the real-time implementation of the robot vision methods on
GPU/FPGA. The position is funded by a grant from NASA. The position is for
2.5 years.

Qualification requirements: Applicants must have an earned doctorate in
Electrical Engineering, Computer Science, or a related discipline. Desirable
skills include programming in Matlab and C/C++, knowledge of SLAM, robot
navigation and image processing.

IASL currently hosts research projects funded by the National Science
Foundation, National Institutes of Health, and NASA. The lab has a number of
robotic platforms, various state-of-the-art 3D TOF cameras, and a recently
built motion capture system for robotic experiment. The candidate will have
opportunity to collaborate with graduate students funded by these grants.  
 
To apply, please send a letter of application summarizing relevant research
interests and accomplishments; curriculum vitae; and the names and contacts
of three references to Dr. Cang Ye (cxye at ualr.edu).

-------------------------------------------
Cang Ye, Ph.D.
Associate Professor
Department of Systems Engineering
University of Arkansas at Little Rock
2801 S. University Ave, EIT 536
Little Rock, AR 72204
Phone: (501) 683-7284 Fax: (501) 569-8698 Google Voice: (501) 237-1818
Email: cxye at ualr.edu
http://www.ualr.edu/cxye





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