[robotics-worldwide] [Jobs] Multiple Ph.D. Student Openings at Univ. of Arkansas

Cang Ye cxye at ualr.edu
Tue Jan 12 16:35:35 PST 2016


The Intelligent Autonomous Systems Lab (http://ualr.edu/cxye/laboratory.htm)
of the University of Arkansas at Little Rock has multiple Ph.D. student
openings for Spring/Fall 2016. These positions will be supported by three
NIH-funded projects. The successful candidates will: (1) develop vision
based navigation methods for a robotic navigation aid and a Wearable Object
Manipulation Aid (W-ROMA) for the visually impaired; (2) develop
vision-based human motion detection and analysis methods for a Quadrupedal
Human-Assistive Robotic Platform (Q-HARP); (3) prototype the W-ROMA; and (4)
Test the motion detection and analysis methods with the Q-HARP prototype.
The projects will use 3D time-of-flight cameras and RGB-D cameras for
perception. The research topics include:

- 6 DOF Simultaneous Localization of Mapping
- Obstacle/Object Detection
- Human Lower Limbs Detection and Motion Analysis
- 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 Institutes of Health and NASA. The funded research currently
supports one postdoc and six 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. 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.
Professor
Department of Systems Engineering
University of Arkansas at Little Rock
2801 S. University Ave, EIT 532
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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