Fully funded PhD position, Fall 2016, Distributed data-driven control,Department of Electrical and Computer Engineering, University of Texas at San Antonio (UTSA)

Fully funded PhD positions are available starting Fall 2016 in distributed data-driven control for heterogeneous systems with focus on cooperative control, distributed optimization, sensor fusion, machine learning, and motion planning. Research will be conducted in the Department of Electrical and Computer Engineering, University of Texas at San Antonio (UTSA), under the supervision of Dr. Yongcan Cao.

Position description:

Required

- A Bachelor’s degree in electrical engineering, computer science, mechanical engineering, aerospace engineering, or a related field;

- Strong background in systems and control theory and signal processing; - Excellent writing and communication skills;

- Proficiency in Matlab and C++. Preferred

- Master’s degree

- Experience in Robot Operating System, machine learning, and computer vision

- Hands-on experience in UAVs or ground robots

- Demonstrated research experience (i.e., a good publication record)

As a minority institution, we welcome applications from underrepresented students such as African American, Hispanic, and Native American students.

If you are interested, send the following documents in a single PDF file

- One page cover letter describing your interest, goal, and how your background fits well;

- CV or resume

- Transcripts

to yongcan.cao@utsa.edu

For More Details:

http://engineering2.utsa.edu/