Fully Funded Ph.D. @ ECE - George Mason University
11390
Fully Funded Ph.D. @ ECE - George Mason University
One Ph.D. opening in the direction of Control and Optimization at the ECE department of George Mason University. The positions are fully funded (including tuition, living stipend, and health insurance) with a flexible starting time: Spring/Fall 2024.
Position Description and Qualifications
The position is available at Multi-agent Intelligence, Control, and Optimization (MICO) Lab supervised by Dr. Xuan Wang. This position has a specific focus on Data-driven modeling, identification and control of neuron network systems. A specific example of the research topic can be found at: [url=mason.gmu.edu]mason.gmu.edu~xwang64/papers/OHBM_23
We expect self-motivated individuals with the following qualifications:
How to apply
Please send an email to [email protected] , with
Subject: PhD-Application
1. Personal Statement, Complete CV (including publication list, if applicable).
2. Undergraduate/graduate transcript (unofficial).
3. TOEFL or IELTS score, if international from non-English speaking countries.
General information about the advisor can be found at
[url=mason.gmu.edu]mason.gmu.edu~xwang64/index.html
George Mason University
George Mason University (GMU) is a public research university in Fairfax County in Virginia. Being established in 1972, George Mason is the fastest growing research University 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 #82 Best Engineering School by US News 2023. Studying and living at GMU positions 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.
One Ph.D. opening in the direction of Control and Optimization at the ECE department of George Mason University. The positions are fully funded (including tuition, living stipend, and health insurance) with a flexible starting time: Spring/Fall 2024.
Position Description and Qualifications
The position is available at Multi-agent Intelligence, Control, and Optimization (MICO) Lab supervised by Dr. Xuan Wang. This position has a specific focus on Data-driven modeling, identification and control of neuron network systems. A specific example of the research topic can be found at: [url=mason.gmu.edu]mason.gmu.edu~xwang64/papers/OHBM_23
We expect self-motivated individuals with the following qualifications:
- Earned bachelor’s or master’s degree by the date of admission, in electrical/bio/ system engineering, computer science, statistics, or computational neuroscience, with preliminary backgrounds in machine learning, control theory, and good mathematics backgrounds.
- Strong passion for the above research areas and desire to solve challenging problems.
- Good coding skill; good communication skills and writing skills, in English.
- Preferred qualifications: records in research and publication.
How to apply
Please send an email to [email protected] , with
Subject: PhD-Application
1. Personal Statement, Complete CV (including publication list, if applicable).
2. Undergraduate/graduate transcript (unofficial).
3. TOEFL or IELTS score, if international from non-English speaking countries.
General information about the advisor can be found at
[url=mason.gmu.edu]mason.gmu.edu~xwang64/index.html
George Mason University
George Mason University (GMU) is a public research university in Fairfax County in Virginia. Being established in 1972, George Mason is the fastest growing research University 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 #82 Best Engineering School by US News 2023. Studying and living at GMU positions 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.
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