1.  Fully funded Ph.D. Opportunity Currently (updated 06/13/2022)

I am seeking a self-motivated Ph.D. student who is interested in the area of Reinforcement Learning, Deep Learning, and has a strong C/C++ programming ability and math background. The candidate should have a BS or MS in computer science. Industrial experience and many years of hands-on programming are preferred. The position will be funded by the NSF project. If you want to apply for the opening, you are encouraged to email xfu@unr.edu with a copy of your resume including educational background, a list of in-major courses and grades, overall GPA, relevant research/working experience, relevant publications, GRE score, TOEFL score (for international student). In your email, please use “Ph.D. – Your Name” as the subject. 

2. ​NSF Award # 2219733 Collaborative Research: CISE-MSI: RPEP: CPS: A Resilient Cyber-Physical Security Framework for Next-Generation Distributed Energy Resources at Grid Edge. 

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219733&HistoricalAwards=false

3. ​NSF PFI-RP Award # 2141067: Development of Novel Inverter Technologies and Prototypes for Enhanced Power Generation from Renewable Energy Resources, Collaborating with The University of Alabama and Phase Technologies LLC. 

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141067&HistoricalAwards=false

4. NSF Award Abstract # 2131214: Collaborative Research: CISE-MSI: RCBP-RF: CPS: Develop Scalable and Reliable Deep Learning-driven Embedded Control Applied in Renewable Energy Integration, 

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2131214&HistoricalAwards=false