[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
http://www.ualr.edu/cxye






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