美国密苏里大学EECS博士招生（物联网，嵌入式系统，自动控制方向）
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美国密苏里大学EECS博士招生（物联网，嵌入式系统，自动控制方向）
Prof. Z. Gu is a new faculty member in the EECS Department, University of Missouri, Columbia, MO, USA. He is looking for a Ph.D. student to work in the inter-disciplinary field of real-time embedded systems, Cyber-Physical Systems (CPS) and Internet of Things (IoT), with applications in smart mobility (mobile robots, self-driving cars, UAVs, etc.). This field is highly popular in industry with excellent career prospects both in the US and in China. The student will be fully funded by Research or Teaching Assistantships.
Research topics include:
1. High-performance embedded computing on heterogeneous hardware platforms that include a mixture of multicore CPU, GPU, DSP, FPGA, etc.
2. Application of control theory and machine learning to embedded systems design, including PID Control, Model-Predictive Control, Optimal Control (LQR, LQG), Deep Reinforcement Learning, etc.
3. Implementation of machine learning/deep learning algorithms on embedded and resource-constrained IoT systems.
Required background
1) Bachelor or Master Degree in with background in CS/EE/control/automation.
2) Knowledge of control theory/embedded systems/machine learning is a plus, but not essential.
U Missouri is a R1 research university whose engineering graduate program is ranked 89 by US News. It is a member of the prestigious Association of American Universities (AAU), which includes 62 top research universities in North America. Interested students please send resume to 1point3acres.com.
Prof. Z. Gu is a new faculty member in the EECS Department, University of Missouri, Columbia, MO, USA. He is looking for a Ph.D. student to work in the inter-disciplinary field of real-time embedded systems, Cyber-Physical Systems (CPS) and Internet of Things (IoT), with applications in smart mobility (mobile robots, self-driving cars, UAVs, etc.). This field is highly popular in industry with excellent career prospects both in the US and in China. The student will be fully funded by Research or Teaching Assistantships.
Research topics include:
1. High-performance embedded computing on heterogeneous hardware platforms that include a mixture of multicore CPU, GPU, DSP, FPGA, etc.
2. Application of control theory and machine learning to embedded systems design, including PID Control, Model-Predictive Control, Optimal Control (LQR, LQG), Deep Reinforcement Learning, etc.
3. Implementation of machine learning/deep learning algorithms on embedded and resource-constrained IoT systems.
Required background
1) Bachelor or Master Degree in with background in CS/EE/control/automation.
2) Knowledge of control theory/embedded systems/machine learning is a plus, but not essential.
U Missouri is a R1 research university whose engineering graduate program is ranked 89 by US News. It is a member of the prestigious Association of American Universities (AAU), which includes 62 top research universities in North America. Interested students please send resume to 1point3acres.com.
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