Mehdi Sookhak
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Funded PhD Position in AI-Enabled Wireless and Autonomous Systems at Texas A&M University-Corpus Christi Texas A&M University-Corpus Christi in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Funded Ph.D. position beginning in Spring 2027.
Country
United States
University
Texas A&M University - Corpus Christi

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About this position
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.
Funding details
Funded Ph.D. position beginning in Spring 2027.
What's required
Applicants should have a B.S. or M.S. in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a related field. Strong preparation in linear algebra, probability, calculus, and optimization is expected, along with strong Python programming skills; MATLAB and C++ are a plus. Background in machine learning is preferred, with reinforcement learning/DRL as a strong plus. Knowledge of wireless communications, networking, or signal processing is desirable. The candidate should be interested in UAVs, edge-AI platforms, simulation, and experimental systems, and demonstrate strong research potential and the ability to learn independently.
How to apply
Email [email protected] with the subject line “Ph.D. Application – CIM Lab – Spring 2027”. Attach your CV and academic transcripts, and include a brief description of your research interests and relevant experience. Add publications, GitHub, or project links if available.
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