2022 Fall PhD opening at University of Dayton ECE/Power Electronics 电力电子
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代顿大学Prof. Cao课题组招多名全奖PhD学生。目前主要研究方向
近期就业的博士硕士包括，浙江大学助理教授，谷歌，Monolithic Power Systems Inc (芯源系统有限公司)，福特汽车，3M
近期学生的暑期实习包括，John Deere, A.Z.Power，GE GRC（通用电气全球研发中心）
GRE no required, TOEFL > 80 (lower than 80 could be waived by contacting Dr. Cao)
Multiple Research Assistantship (M.S/Ph.D.) student positions starting from Fall 2022 are available for self-motivated students who are interested in pursuing M.S/Ph.D. degree in Electrical and Computer Engineering at University of Dayton, Dayton, OH. The successful candidates will work with Dr. Dong Cao and his group to do high quality research in power electronics, wide bandgap (GaN/SiC) devices for electric vehicle, electric vertical take-off and landing aircraft applications, high efficiency data-center power delivery, machine learning and artificial intelligence for magnetic design, ground fault localization and power converters lifetime prediction.
If you are interested, please send your CV/resume to Dr. Cao at 1point3acres.com. You can also find more about Dr. Cao's research at
sites.google.com
scholar.google.com
Candidates with solid backgrounds in Power Electronics, Wide bandgap devices, Motor Drive, or Grid Connected Control are especially encouraged to apply, knowledge of Python and COMSOL are preferred.
Dong Cao (M’09) received the B.S. degree from Zhejiang University, Hangzhou China, in 2005, the M.S. and Ph.D. degrees in electrical engineering from Michigan State University, East Lansing USA, in 2010 and 2012, respectively. He worked at Ford Motor Company as a core power electronics engineer for hybrid electric vehicle electrified driveline hardware development from 2012 ~ 2014. He was an assistant professor at North Dakota State University from 2014 ~ 2019. He joined University of Dayton at as GE EPISCenter professor and associate professor in since Aug. 2019.
His research interests include high density and high frequency power converters for data center, electric vehicle, and solar farm application using SiC/GaN devices; power management for fuel cell based electric vertical take-off and landing (eVTOL) aircraft; machine learning and artificial intelligence for magnetic design, ground fault localization and power converters lifetime prediction. He received early career researcher of the year award from NDSU in 2019. He received four prize paper awards from IEEE. He is the associated editor and guest editor for several IEEE Journal and Transactions. His research has been funded by multiple sources, such as Airforce, Navy, OFRN, Google, NSF, NASA, ND DoC, MnDOT, Transphorm, John Deere, Ford, Navitas Semiconductor etc.
- 电动垂直起落飞机 电机驱动，电源管理 （碳化硅器件应用）
- 高功率密度数据中心电源（氮化镓器件应用）
- 无线充电器 （氮化镓应用）
- 基于机器学习的舰船电力系统故障检测
- 基于机器学习的电感元器件设计以及电力电子变换器的寿命预测以及可靠性分析
近期就业的博士硕士包括，浙江大学助理教授，谷歌，Monolithic Power Systems Inc (芯源系统有限公司)，福特汽车，3M
近期学生的暑期实习包括，John Deere, A.Z.Power，GE GRC（通用电气全球研发中心）
GRE no required, TOEFL > 80 (lower than 80 could be waived by contacting Dr. Cao)
Multiple Research Assistantship (M.S/Ph.D.) student positions starting from Fall 2022 are available for self-motivated students who are interested in pursuing M.S/Ph.D. degree in Electrical and Computer Engineering at University of Dayton, Dayton, OH. The successful candidates will work with Dr. Dong Cao and his group to do high quality research in power electronics, wide bandgap (GaN/SiC) devices for electric vehicle, electric vertical take-off and landing aircraft applications, high efficiency data-center power delivery, machine learning and artificial intelligence for magnetic design, ground fault localization and power converters lifetime prediction.
If you are interested, please send your CV/resume to Dr. Cao at 1point3acres.com. You can also find more about Dr. Cao's research at
sites.google.com
scholar.google.com
Candidates with solid backgrounds in Power Electronics, Wide bandgap devices, Motor Drive, or Grid Connected Control are especially encouraged to apply, knowledge of Python and COMSOL are preferred.
Dong Cao (M’09) received the B.S. degree from Zhejiang University, Hangzhou China, in 2005, the M.S. and Ph.D. degrees in electrical engineering from Michigan State University, East Lansing USA, in 2010 and 2012, respectively. He worked at Ford Motor Company as a core power electronics engineer for hybrid electric vehicle electrified driveline hardware development from 2012 ~ 2014. He was an assistant professor at North Dakota State University from 2014 ~ 2019. He joined University of Dayton at as GE EPISCenter professor and associate professor in since Aug. 2019.
His research interests include high density and high frequency power converters for data center, electric vehicle, and solar farm application using SiC/GaN devices; power management for fuel cell based electric vertical take-off and landing (eVTOL) aircraft; machine learning and artificial intelligence for magnetic design, ground fault localization and power converters lifetime prediction. He received early career researcher of the year award from NDSU in 2019. He received four prize paper awards from IEEE. He is the associated editor and guest editor for several IEEE Journal and Transactions. His research has been funded by multiple sources, such as Airforce, Navy, OFRN, Google, NSF, NASA, ND DoC, MnDOT, Transphorm, John Deere, Ford, Navitas Semiconductor etc.
