PhD Position in Multi-agent Reinforcement Learning and Explainable AI at UTSA

The University of Texas at San Antonio (UTSA), Department of Electrical and Computer Engineering, invites applications for fully funded PhD positions starting Fall 2024 or Spring 2025. The research focus is on the development of explainable reinforcement learning models for multi-agent systems in the Unmanned Systems Lab. Successful candidates will work on advancing the understanding and transparency of multi-agent RL algorithms, with a particular emphasis on explainable AI and multi-objective optimization.

Required qualifications include:

• Bachelor’s degree in electrical engineering, computer science, mathematics, or related fields
• Strong background in mathematics and programming
• Excellent writing and communication skills
• Experience in reinforcement learning

Preferred qualifications include:

• Master’s degree
• Experience in explainable AI and multi-objective optimization
• Demonstrated research experience via publications

To apply, submit a single PDF file containing:

• A one-page cover letter describing your interest, goals, and qualifications
• CV or resume
• Transcripts
• One to two representative publications, if applicable

Please submit your application to yongcan.cao@utsa.edu