[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
http://ualr.edu/humanresources/.

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
http://www.ualr.edu/cxye





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