[招生] 美国R1 George Mason University ECE 3名全奖博士，Control/Robotics
7850
乔治梅森大学（George Mason University）电子与计算机工程系（ECE）招收三名机器人与控制方向的全奖博士生，导师为 Dr. Ningshi Yao（个人主页：cec.gmu.edu）。岗位为全额资助，具有有竞争力的生活补助（税前约每月$3000）。入学时间可选择2027年春季或秋季入学。
Position 1：网络化控制系统的控制理论方向
本岗位偏重控制、机器学习以及实时调度与控制的协同设计的理论研究。我们期望申请者具备以下条件：
1. 对控制理论、机器学习、实时调度理论以及网络化控制系统有浓厚兴趣，愿意挑战理论难题。
2. 扎实的数学基础，包括线性代数、线性/非线性系统理论和控制理论。
3. 具备优化理论、机器学习、强化学习理论背景者优先。
Positions 2 and 3：偏硬件方向的机器人研究（两个名额）
这两个岗位偏重机器人研究中动手实践的机器人硬件相关的工作。主要研究设计、搭建并实现机器人平台，使其能够在未知室外环境中，在人类协助下协调并完成复杂任务。我们期望申请者具备以下条件：
1. 机械工程、电子工程、计算机工程或计算机科学背景。
2. 具备CAD设计的动手经验。
3. 基础电子学知识，包括PCB设计。
4. 有单片机（Arduino、Raspberry Pi等）使用经验及嵌入式编程经验。
如何申请
请发送邮件至1point3acres.com，邮件主题为：PhD-Application – [Position 1 / Position 2-3]，
邮件中请附上：
1. 完整简历CV（如有发表论文，请附论文列表）
2. 本科/研究生成绩单（非官方版本即可）
3. TOEFL或IELTS成绩
导师介绍
Ningshi Yao is an Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University, where she directs the Control, Intelligent Autonomy, and Optimization (CIAO) Lab. She received her PhD and MS degrees from the Georgia Institute of Technology and her BS degree from Zhejiang University. Her research spans the convergence of control theory, robotics, machine learning, and human-robot interaction, with a primary focus on building intelligent systems that enhance human capabilities. Her work is supported by a significant portfolio of federal grants totaling over $4 million, including the National Institutes of Health (NIH) R01, the Office of Naval Research (ONR), and the National Science Foundation (NSF) as the leading Principal Investigator (PI). Yao is a recipient of the 2026 NSF CAREER Award from the Energy, Power, Control, and Learning (EPCL) program.
As an active scholar in the robotic and control community, Yao serves as an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics (SMC): Systems, the IEEE American Control Conference (ACC), and the IEEE Conference on Decision and Control (CDC). She is also on the Organizing Committee for IFAC NecSys 2025 and IEEE RO-MAN 2026. Beyond her research, Yao is the Founder of the Airborne Robotics Cup (ARC), a national robotic blimp competition for youth STEM education.
Lab website: ciaolab.org
学校介绍
George Mason University (GMU) is a public research university headquartered in Fairfax County, Virginia. Established in 1972, GMU is now the largest public research university in the Commonwealth of Virginia, serving over 38,000 students, and is classified among “R1: Doctoral Universities – Very high research activity,” with its College of Engineering and Computing ranked #76 among Best Engineering Schools In US.
Location: GMU's Fairfax campus sits just minutes from Washington, D.C., and the university also operates a rapidly growing campus at Mason Square in Arlington — about 3.5 miles from amazon.com's HQ2. Mason Square anchors the Rosslyn-Ballston Innovation Corridor and is home to the new Institute for Digital Innovation and the Fuse research building, which focuses on artificial intelligence, cybersecurity, power/energy, and control systems. Being embedded in this corridor puts students close to 23 Fortune 500 company headquarters, major federal agencies and national labs, and one of the densest technology and defense job markets in the country — a strong pipeline for internships, collaborations, and careers after graduation.
Momentum: GMU has been on a fast upward trajectory: it earned R1 research status, and its research expenditures grew by nearly 30% over the past five years, reaching $282 million in 2024. With growing enrollment, expanding faculty, and major investment in its Arlington innovation district, GMU is quickly becoming one of the most dynamic research environments on the East Coast for robotics and AI research.
Position 1：网络化控制系统的控制理论方向
本岗位偏重控制、机器学习以及实时调度与控制的协同设计的理论研究。我们期望申请者具备以下条件：
1. 对控制理论、机器学习、实时调度理论以及网络化控制系统有浓厚兴趣，愿意挑战理论难题。
2. 扎实的数学基础，包括线性代数、线性/非线性系统理论和控制理论。
3. 具备优化理论、机器学习、强化学习理论背景者优先。
Positions 2 and 3：偏硬件方向的机器人研究（两个名额）
这两个岗位偏重机器人研究中动手实践的机器人硬件相关的工作。主要研究设计、搭建并实现机器人平台，使其能够在未知室外环境中，在人类协助下协调并完成复杂任务。我们期望申请者具备以下条件：
1. 机械工程、电子工程、计算机工程或计算机科学背景。
2. 具备CAD设计的动手经验。
3. 基础电子学知识，包括PCB设计。
4. 有单片机（Arduino、Raspberry Pi等）使用经验及嵌入式编程经验。
如何申请
请发送邮件至1point3acres.com，邮件主题为：PhD-Application – [Position 1 / Position 2-3]，
邮件中请附上：
1. 完整简历CV（如有发表论文，请附论文列表）
2. 本科/研究生成绩单（非官方版本即可）
3. TOEFL或IELTS成绩
导师介绍
Ningshi Yao is an Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University, where she directs the Control, Intelligent Autonomy, and Optimization (CIAO) Lab. She received her PhD and MS degrees from the Georgia Institute of Technology and her BS degree from Zhejiang University. Her research spans the convergence of control theory, robotics, machine learning, and human-robot interaction, with a primary focus on building intelligent systems that enhance human capabilities. Her work is supported by a significant portfolio of federal grants totaling over $4 million, including the National Institutes of Health (NIH) R01, the Office of Naval Research (ONR), and the National Science Foundation (NSF) as the leading Principal Investigator (PI). Yao is a recipient of the 2026 NSF CAREER Award from the Energy, Power, Control, and Learning (EPCL) program.
As an active scholar in the robotic and control community, Yao serves as an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics (SMC): Systems, the IEEE American Control Conference (ACC), and the IEEE Conference on Decision and Control (CDC). She is also on the Organizing Committee for IFAC NecSys 2025 and IEEE RO-MAN 2026. Beyond her research, Yao is the Founder of the Airborne Robotics Cup (ARC), a national robotic blimp competition for youth STEM education.
Lab website: ciaolab.org
学校介绍
George Mason University (GMU) is a public research university headquartered in Fairfax County, Virginia. Established in 1972, GMU is now the largest public research university in the Commonwealth of Virginia, serving over 38,000 students, and is classified among “R1: Doctoral Universities – Very high research activity,” with its College of Engineering and Computing ranked #76 among Best Engineering Schools In US.
Location: GMU's Fairfax campus sits just minutes from Washington, D.C., and the university also operates a rapidly growing campus at Mason Square in Arlington — about 3.5 miles from amazon.com's HQ2. Mason Square anchors the Rosslyn-Ballston Innovation Corridor and is home to the new Institute for Digital Innovation and the Fuse research building, which focuses on artificial intelligence, cybersecurity, power/energy, and control systems. Being embedded in this corridor puts students close to 23 Fortune 500 company headquarters, major federal agencies and national labs, and one of the densest technology and defense job markets in the country — a strong pipeline for internships, collaborations, and careers after graduation.
Momentum: GMU has been on a fast upward trajectory: it earned R1 research status, and its research expenditures grew by nearly 30% over the past five years, reaching $282 million in 2024. With growing enrollment, expanding faculty, and major investment in its Arlington innovation district, GMU is quickly becoming one of the most dynamic research environments on the East Coast for robotics and AI research.
