[robotics-worldwide] Ph.D. Student Openings in Robot Vision

Cang Ye cxye at ualr.edu
Wed Apr 10 08:45:42 PDT 2013

The Intelligent Autonomous Systems Lab (http://ualr.edu/cxye/laboratory.htm)
of the University of Arkansas at Little Rock has two Ph.D. student openings
for Fall 2013. The successful candidate will develop 3D robot vision methods
based on a 3D Flash LIDAR Camera. The research team will work on a wide
range of research problems on robot vision, including 6-DOF pose estimation
by computer vision, terrain mapping, 3D data segmentation, and autonomous
navigation. General guideline of admission to graduate study is referred to
http://ualr.edu/enss/. The lab currently hosts research funded by the
National Science Foundation and NASA and supports 4 Ph.D. students. 

The University of Arkansas at Little Rock is a dynamic metropolitan
university locating at the state's capital city, Little Rock
(http://www.littlerock.com). Applicants should hold a degree in electrical
engineering, computer science, or related fields. Desired skills include
programming in C/C++ and Matlab, image processing, 3D computer vision. To
apply, contact Dr. Cang Ye (cxye at ualr.edu) with detailed CV and copies of
transcript(s), TOEFL and GRE.

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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