[robotics-worldwide] [jobs] Ph.D. Student Openings in Robot Vision

Cang Ye cxye at ualr.edu
Sun May 18 14:07:20 PDT 2014


The Intelligent Autonomous Systems Lab (http://ualr.edu/cxye/laboratory.htm)
of the University of Arkansas at Little Rock has one Ph.D. student opening
for fall 2014 or spring 2015. 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. The funded research supports a postdoc and 6 Ph.D. students (three
will join the research team in fall 2014).
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.
Associate 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



-----Original Message-----
From: Cang Ye [mailto:cxye at ualr.edu] 
Sent: Monday, January 20, 2014 6:27 PM
To: 'robotics-worldwide at duerer.usc.edu'
Subject: [jobs] Ph.D. Student Openings 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. 
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.
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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