We would like to announce another new fully funded PhD position starting as early as May 2023 in our AI Controls Lab in the Department of Electrical and Computer Engineering at Tennessee Tech, USA to conduct research on developing AI (Machine Learning/Reinforcement Learning) control algorithms for various applications in connected autonomous self-driving cars, distributed building controls, energy systems, and electric drives.
Qualifications: The applicant must have a good background in controls or adjacent disciplines.
Research Description: Our research is concentrated on designing artificial intelligence-based automatic control systems. Both theoretical and applied aspects of controls are actively explored with further emphasis on applications including autonomous vehicles, building controls, motor drives, active magnetic bearings, etc. The lab is equipped with high-performance control platforms including GPU-accelerated real-time control workstations, multiple 1/10 autonomous cars, road tracks, traffic signals, virtual reality simulators, hardware-in-loop capabilities, real-time control software with MATLAB / Simulink integration, etc.
How to Apply: Interested students can send their CVs and transcripts at the earliest to Dr. Rizvi at srizvi@tntech.edu (https://www.tntech.edu/directory/engineering/faculty/syed-rizvi.php)
