PhD Position in Multi-agent RL at UTSA

A fully funded PhD position is available at the University of Texas at San Antonio (UTSA) starting Spring/Fall 2025. The research project will focus on developing efficient and scalable multi-agent reinforcement learning (MARL) methods to address scalability and resource constraints. The research will be conducted in the Unmanned Systems Lab, Department of Electrical and Computer Engineering.

Required qualifications include a Master/Bachelor degree in electrical/computer engineering, computer science, AI, or related fields, strong programming skills in reinforcement learning, excellent writing and communication skills, and demonstrated research experience in MARL.

To apply, please send a single PDF file containing a 1-page cover letter, up-to-date CV or resume, transcripts, and 1-2 representative publications (if applicable) to yongcan.cao@gmail.com.