About the role#
This Graduate Assistant position involves conducting original research under the supervision of Principal Investigators. You will join a research group focused on wireless communications, machine learning, and IoT. This is a part-time, on-site role based in Prairie View, Texas.
What you'll do#
- Develop, implement, and evaluate AI-enabled edge computing and machine learning models for real-time anomaly detection and adaptive optimization.
- Integrate blockchain and trust mechanisms into 5G/6G frameworks to support secure and resilient networks.
- Utilize and expand Firecell 5G/6G standalone testbed experiments to validate performance metrics like latency, throughput, and reliability.
- Write funding proposals and publish research findings in top-tier journals and conferences.
- Mentor undergraduate researchers and collaborate with an interdisciplinary team.
- Contribute to project reporting, NSF deliverables, and broader impacts outreach.
What you'll need#
- A Bachelor’s degree in an applicable field and a completed Master’s degree in Electrical Engineering.
- Current enrollment in a doctoral program, preferably with a specialization in signal processing, 5G/6G, communication systems, and AI.
- Current enrollment at Prairie View A&M University for at least nine graduate semester credit hours.
- Good academic standing with a minimum 2.0 GPA.
Location & details#
- Location: Prairie View, Texas.
- Employment type: Part-time, on-site.
- Term: Rolling.
- Note: This position is security-sensitive and requires a criminal history investigation.
About Texas A&M University System
The Texas A&M University System operates as a large public higher education network based in College Station, Texas. Established in 1876, the organization manages 12 universities, eight state agencies, and a health science center. It maintains an annual budget of 7.3 billion dollars and supports nearly 170,000 students. The system focuses on research, agriculture, engineering, and medicine to support state economic development.
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