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

Cang Ye cxye at ualr.edu
Wed Feb 26 07:06:46 PST 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 Spring/Fall 2014. The successful candidates will develop computer vision methods based on a 3D Flash LIDAR for a co-robotic navigation aid for the visually impaired. The research topic is 6-DOF Simultaneous Localization and Mapping or 3D object recognition. The research assistantship carries a monthly stipend of $1500 (annual stipend $18,000).

The project is funded by the National Institutes of Health (NIH). In 2013, The NIH funded three projects nationwide through the National Robotics Initiative Program. More information about this project may be found here:

http://www.nih.gov/news/health/oct2013/nibib-23.htm

http://www.popsci.com/blog-network/zero-moment/autonomous-self-steering-robo-cane-and-other-co-robots-come

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. Currently, the research group includes a postdoc, four Ph.D. students, and numerous undergraduates.  

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






On Jan 20, 2014, at 6:27 PM, Cang Ye wrote:

> 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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