[robotics-worldwide] Ph.D. Assistantship Available on Aerial Robots at the University of Kansas

Chao, Haiyang chaohaiyang at ku.edu
Mon Aug 26 15:49:37 PDT 2013


We have two immediate openings for Ph.D. graduate research assistants on estimation and control of aerial robots/UAVs at the Aerospace Engineering Department of the University of Kansas (http://people.ku.edu/~h512c315/). 
The successful candidates will work on developing new methodologies and novel systems to increase the safety, intelligence, and robustness of both manned and unmanned aircraft (flying robot). 
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Current research topics include 

(1) vision-aided navigation (e.g., optical flow),    
(2) small UAV development for remote sensing, 
(3) wind/turbulence/wake sensing and wind soaring, 
(4) cooperative control (e.g., tight formation flight), etc. 
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The long term goal is to understand how birds interact with surrounding environments such as obstacles or winds, and utilize these strategies to help solving real-world engineering problems. Emphasis will be put on new algorithm/system development as well as flight test validations using small aerial robots, or unmanned aircraft systems.  
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Applicants should hold a B.S. or M.S. degree in Aerospace Engineering, Electrical Engineering, Computer Science, or related fields.
Desired candidates should have combined skills of both control/estimation theories and hands-on capabilities for small UAV development and flight testing. 

Desired skills include:    
 (1)Flight controller/estimation filter design (e.g. PID/LQR controller, Kalman filter), 
 (2)C and MATLAB/Simulink programming, 
 (3)Embedded system development. 

Students with experiences on Remote Controlled (RC) airplanes and Paparazzi /Procerus/Piccolo autopilots are especially welcomed to apply. 
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Please contact Assistant Professor Haiyang Chao (<mailto:chaohaiyang at ku.edu>) with detailed CV and copies of transcript(s) for initial review. 
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The University of Kansas (KU) is among the 63 members of the Association of American Universities, an organization of leading research universities devoted to maintaining a strong system of academic research and education. General guideline of admission
to graduate study at KUAE is referred to http://ae.engr.ku.edu/graduate/admissions.html. 
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Haiyang Chao

Ph.D. & Assistant Professor
Department of Aerospace Engineering 
University of Kansas
2120 Learned Hall 1530 W 15th St. 
Lawrence, KS 66045
(E):chaohaiyangATku.edu  
(W):http://people.ku.edu/~h512c315/








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