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Ph. D. Student Openings (Fall 2014) in Robot Vision


The Intelligent Autonomous Systems Lab (http://ualr.edu/cxye/laboratory.htm) of the University of Arkansas at Little Rock has three Ph.D. student openings for Fall 2014. The successful candidates will develop computer vision methods based on a 3D time-of-flight camera for small robots or robotic devices. The research topics include:

    - 6 DOF SLAM

    - 3D map-building and autonomous navigation

    - 3D data segmentation

    - Object/scene recognition

    - Human robot interaction

General guideline of admission to graduate study is referred to http://ualr.edu/enss/. The lab currently hosts research projects funded by the National Science Foundation, the National Institutes of Health, and NASA. Two of the positions will be funded by the NIH project (http://www.nih.gov/news/health/oct2013/nibib-23.htm).

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. To apply, contact Dr. Cang Ye (cxye@ualr.edu) with detailed CV and copies of transcript(s), TOEFL and GRE.


Post-Doctoral Fellow Position (Immediate) in Robot Vision


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@ualr.edu).


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