George Mason University, ECE , 全奖博士

Fully Funded Ph.D. @ ECE - George Mason University
Two Ph.D. openings in the direction of Autonomy and Control at the ECE department of George Mason University. The positions are fully funded (including tuition, living stipend, health insurance) with a flexible starting time: Spring/Summer/Fall 2022.

The George Mason University
George Mason University (GMU) is a public research university in Fairfax County in Virginia. Being established in 1972, George Mason has the No. 1 ranked engineering program in Virginia, and is the fastest growing public research in the US. The university is now the largest four-year public university in the Commonwealth of Virginia and is classified among "R1: Doctoral Universities – Very high research activity", ranked #93 in US News 2022. Apart from the highest standard on research activities, we locate at one of the best places to live near Washington DC, the capital of the US. Studying and living in GMU puts you close to companies changing the face of technology, health care, and more. These include 23 Fortune 500 companies and some of the most advanced cyber security players in the country.

Position Description and Qualifications
The position is available in Dr. Xuan Wang’s research group. Our search interests lie primarily in the board areas of autonomy and control, with specific directions including the Cooperative control and optimization in multi-robot system; Multi-agent machine learning; Multi-robot task allocation and path planning; Resilient multi-agent coordination; System identification and data-driven control of neuron network systems.

We expect self-motivated individuals with the following qualifications:
1.        Earned bachelor’s or master’s degree by the date of admission, in engineering (electrical, mechanical, aerospace), computer science, computational neuroscience, with solid automatic control, machine learning or mathematics backgrounds.
2.        Strong interest in control theory, reinforcement learning, robot systems, multi-agent systems, or computational neural networks.
3.        Good communication skills and writing skills, in English.
4.        Preferred qualifications: coding skills, established records in research and publication.

How to apply
Please send an email to xwang64@gmu.edu , with
Subject: PhD-Application
1. Personal Statement, Complete CV (including publication list, if applicable).
2. Undergraduate/graduate transcript (unofficial).
3. A list of references.
4. TOEFL or IELTS score, if international from non-English speaking countries.