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Sobre este puesto de Postdoctoral Researcher (AI-Powered Multi-Agent System) en Texas A&M University System

Texas A&M University System · Presencial · Prairie View, TX

Job Title

Postdoctoral Researcher (AI-Powered Multi-Agent System)

Agency

Prairie View A&M University

Department

CECSTR

Proposed Minimum Salary

Commensurate

Job Location

Prairie View, Texas

Job Type

Staff

Job Description

Important Immigration information: 

A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Texas A&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee. 

 In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate. 

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The salary is determined in accordance with the University’s compensation structure and will be commensurate with the candidates’ education and experience, within the assigned salary range for


This is a postdoctoral position working on a project entitled, “AI-Powered Multi-Agent System (MAS) for Real-Time QoS Anomaly Detection and Adaptive Network Optimization in 6G-Enabled Industrial IoT Environments.”


The Postdoctoral Researcher will conduct original research under the supervision of the PIs on the design of multi-agent systems for distributed QoS management in 6G-enabled IIoT. He/she will be part of the research group that will develop, implement, and evaluate deep learning and reinforcement learning models for real-time anomaly detection and adaptive optimization; integrate blockchain and trust mechanisms into MAS frameworks for secure, resilient IIoT communications; utilize and expand Firecell 5G/6G standalone testbed experiments to validate MAS performance (latency, throughput, reliability); and publish findings in top-tier journals and conferences (IEEE INFOCOM, Globecom, ICC, JSAC, TMC, etc.).


The Postdoctoral Researcher will also help mentor graduate and undergraduate researchers working on wireless communications, machine learning, and IoT; collaborate with an interdisciplinary team spanning AI, wireless systems, cybersecurity, and industrial automation; and contribute to project reporting, NSF deliverables, and broader impacts outreach.


This position is funded by a grant or restricted funds. Continued employment is contingent on the renewal of grant or restricted funding.

 

 

Responsibilities:


  • Conduct original research under the supervision of the PIs on the design of multi-agent systems for distributed QoS management in 6G-enabled IIoT, developing, implementing, and evaluating deep learning and reinforcement learning models for real-time anomaly detection and adaptive optimization, integrating blockchain and trust mechanisms into MAS frameworks for secure, resilient IIoT communications, utilize and expand Firecell 5G/6G standalone testbed experiments to validate MAS performance (latency, throughput, reliability).
  • Mentor graduate and undergraduate researchers working on wireless communications, machine learning, and IoT.
  • Write proposals for funding with PIs.
  • Publish findings in top-tier journals and conferences (IEEE INFOCOM, Globecom, ICC, JSAC, TMC, etc.) with the PIs.
  • Collaborate with an interdisciplinary team spanning AI, wireless systems, cybersecurity, and industrial automation; and contribute to project reporting, NSF deliverables, and broader impacts outreach. Performs other duties as assigned.

Required Education and Experience:


  • Ph.D. in Electrical Engineering
  • No prior Experience required.

Preferred Qualifications:


  • Doctoral degree, specializing in signal processing, 5G/6G, communication systems, and AI.

Job Posting Close Date: 

 

  •  10/06/2026

Required Attachments: 

Please attach all required documents listed below in the attachment box labeled as either “Resume/CV or Resume/Cover Letter” on the application. Multiple attachments may be included in the “Resume/CV” or Resume/Cover Letter” attachment box.  Any additional attachments provided outside of the required documents listed below are considered optional. 


  • Resume or Curriculum Vitae 
  • Cover Letter 

 

Application Submission Guidelines:  

 

All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, HigherEdJobs, etc. will not be considered unless the individual has applied to the available position via the PVAMU Career site. 

 

The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing date indicated to ensure full consideration for the application submitted. Please contact the Office of Human Resource on or before the closing date indicated above at 936-261-1730 or [email protected] should you need assistance with the online application process. 

 

Background Check Requirements: 

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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Sobre Texas A&M University System

The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees.

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