Multiple scholarship openings at CEECS, Florida Atlantic University, FL, USA

Multiple scholarship openings at Computer & Electrical Engineering and Computer Science Department (CEECS), Florida Atlantic University, FL, USA

Multiple fully funded PhD scholarship opportunities are available starting at Spring 2020/Fall 2020. Successful candidates are expected to carry out research in one or more of the areas:
•        Reinforcement learning, adaptive dynamic programming and deep reinforcement learning;
•        Computational intelligence algorithms and theories;
•        Cyber-physical systems control and optimization.

We are particularly interested in highly-motivated students with a strong research background and capability. Ideal candidates are expected to have:
1.        A M.S. degree in electrical and computer engineering. At least a B.S. degree in related areas
2.        Strong mathematical background in modeling, optimization and analysis
3.        Hands-on experience in simulation, such as Python, C++ and/or Matlab/Simulink
4.        Good communication and writing skills will be a plus
If you are interested in PhD positions in CEECS @ Florida Atlantic University, FL, please send your CV and transcripts to Prof. Zhen Ni zhenni@fau.edu with subject “Application for Spring 2020/Fall 2020.” in email.
For more information, please visit: sites.google.com/site/nizhen10/home

Florida Atlantic University (FAU) belongs to the 12-campus State University System of Florida and serves South Florida, which has more than five million people and spans more than 100 miles (160 km) of coastline. Florida Atlantic University is classified by the Carnegie Foundation as a research university with high research activity. With more than 170 undergraduate and graduate degree programs available, FAU's 30,000 students are receiving the preparation they need to face the future with confidence. FAU, Boca Raton campus, is within 1.3 miles direct distance to the Atlantic Ocean, and is within one-hour drive to Miami and three-hour drive to Orlando.
Dr.Ni’s research mainly includes Computational Intelligence, Machine Learning, Adaptive Control, and applications for Smart Grid, Robotics and Cyber-Physical Systems. He is a principal investigator or co-principal investigator on three National Science Foundation awards, two NASA grants, a Department of Commerce grant and a South Dakota Board of Regents grant. He has authored and co-authored for 80+ peer-reviewed research papers. He is actively involved in various professional services and activities in the society, including the General Chair of IEEE computational intelligence society winter school (2016). He is an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (2019-) and IEEE Computational Intelligence Magazine (2018-) and a Guest Editor for IET Cyber-Physical Systems: Theory & Applications (2017-2018).
Dr. Ni received the IEEE CIS Outstanding Ph.D. Dissertation Award (2020), INNS Aharon Katzir Young Investigator Award (2019), URI Excellence in Doctoral Research Award (2016), Chinese Government Award for Outstanding Students Abroad (2014), Second Prize of Graduate Student Poster Contest in IEEE Power and Energy Society General Meeting (2015) and so on. Dr. Ni has successfully supervised a group of talented students, who recently received best paper/poster and other research awards. Previous students either landed in leading national laboratories or major industry companies for their career.