[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

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