Mehdi Sookhak

Funded Ph.D. opportunity in the Collective Intelligence in Motion (CIM) Laboratory at Texas A&M University-Corpus Christi for Spring 2027. The project focuses on AI-enabled wireless and autonomous systems, with research directions including UAV-assisted communications, connected/autonomous vehicles, intelligent metasurfaces (RIS/SIM), edge computing, wireless resource allocation, optimization, and reinforcement learning. The post also mentions emerging topics such as wave-domain computing and stacked intelligent metasurfaces. Ideal applicants should have a B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a related field. Strong foundations in linear algebra, probability, calculus, and optimization are expected. Programming experience in Python is important; MATLAB and C++ are helpful. A background in machine learning is preferred, and reinforcement learning/DRL is a strong plus. Knowledge of wireless communications, networking, or signal processing is also desirable. This is a funded Ph.D. position, but no stipend amount, tuition details, or other financial terms are specified in the post. To apply, email Mehdi Sookhak at [email protected] with the subject line “Ph.D. Application – CIM Lab – Spring 2027” and include a CV, academic transcripts, a short statement of research interests and relevant experience, and any publications, GitHub, or project links.

No summary provided for this position.