[robotics-worldwide] [Jobs] Several PhD openings at Univ. of Arkansas

Cang Ye cxye at ualr.edu
Thu Oct 6 22:43:00 PDT 2016


The Intelligent Autonomous Systems Lab (https://urldefense.proofpoint.com/v2/url?u=http-3A__ualr.edu_cxye&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=4cbNmXo6q8-UYAPv5YdnUB2cGbDHx5FapEetpFeOrkQ&s=Jom-JXrdx3gtrzHmb-ZKeGr9ZuxEzNBnNbxjtHNNOX0&e= ) of the
University of Arkansas at Little Rock has several Ph.D. student openings
with full RA-ships for Spring/Fall 2017. The successful candidates will
develop Simultaneous Localization and Mapping methods, object recognition
methods, and human lower-limb motion detection and walking patter
recognition methods based on an RGB-D camera.

Students will be admitted to the Engineering Science and Systems PhD program
or the Integrated Computing PhD program according to their backgrounds.
General guideline of admission to graduate study is referred to
https://urldefense.proofpoint.com/v2/url?u=http-3A__ualr.edu_enss_&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=4cbNmXo6q8-UYAPv5YdnUB2cGbDHx5FapEetpFeOrkQ&s=GvtixAgBL1R9y8yzCnqKcqixlxm1fjQxzABvmzibbxs&e=  or https://urldefense.proofpoint.com/v2/url?u=http-3A__ualr.edu_integratedcomputing&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=4cbNmXo6q8-UYAPv5YdnUB2cGbDHx5FapEetpFeOrkQ&s=_H_RRd3qIAt8GKG4S5x0mzigqk8pFbXflZyvgfiHXv4&e= . The lab
currently hosts research projects funded by the National Institutes of
Health, NASA, and Arkansas Research Alliance.

The University of Arkansas at Little Rock is a dynamic metropolitan
university locating at the state’s capital city, Little Rock
(https://urldefense.proofpoint.com/v2/url?u=http-3A__www.littlerock.com&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=4cbNmXo6q8-UYAPv5YdnUB2cGbDHx5FapEetpFeOrkQ&s=QIWa4QpZwOWX1YJ45IHoeGs-T54LeBvQpzsH0EL4MiU&e= ). 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
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ualr.edu_cxye&d=DQIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=4cbNmXo6q8-UYAPv5YdnUB2cGbDHx5FapEetpFeOrkQ&s=-mfIPQskbVZ_F713Ad9bU6htpAQd5Wx4HOaC8Nhjzfc&e= 


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