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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.

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Country

United States

University

Texas A&M University - Corpus Christi

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Wireless Communication
Edge Computing
Reinforcement Learning
Resource Allocation
Optimisation
Robotics
Connected Vehicle
Autonomous System
Autonomous Vehicle
ML

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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.

More information can be found here

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