[robotics-worldwide] Post-Doctoral Fellow Position in Robotics

Cang Ye cxye at ualr.edu
Fri Jun 14 09:13:44 PDT 2013

The University of Arkansas at Little Rock seeks applicants to fill the
position of Post-Doctoral Fellow in the Graduate Institute of Technology
(P98176). This full-time 12-month appointment is available immediately and
will carry a competitive salary and excellent benefits. Continued employment
is contingent upon funding and successful performance. 

The Post-Doctoral Fellow will be involved in a research project to develop
3D computer vision methods for robot navigation on Mars. The project team,
consisting of faculty, post-doc, graduate students and undergraduate
students, 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, autonomous navigation, and GPU/FPGA acceleration of the
methods. The post-doc's research will focus on robot pose estimation (6-DOF
SLAM) based on a 3D Flash LIDAR Camera. Specific duties may include
development and validation of the pose estimation method, integration of the
method with the navigation system, and performance of field tests. 

Minimum Qualifications: A Ph.D. (ABD may be considered if all degree
requirements are completed before employment commences) in Electrical
Engineering, Computer Science, or a related discipline. The candidate should
have at least 4 years research experience in simultaneous localization and
mapping of autonomous robots. 

Preferred Qualifications: Experience in Linux programming and/or open
robotic operating system is preferred. Desirable skills include programming
in Matlab and C/C++, knowledge of visual/graph SLAM, robot navigation, and
image processing. 

Additional information about this position and application requirements are
available on the Jobs link on the Human Resources' website at

To apply for this position please visit http://ualr.edu/humanresources/
Direct all technical inquiries to: Dr. Cang Ye (cxye at ualr.edu). Direct all
other inquires to the Graduate Institute of Technology at (501) 569-8210.

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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