Postdoctoral Researcher (PIER Trustworthy Artificial Intelligence)-1

Prairie View A&M University

Postdoctoral Researcher (PIER Trustworthy Artificial Intelligence)-1

Job Title
Postdoctoral Researcher (PIER - Trustworthy Artificial Intelligence)-1

Agency
Prairie View A&M University

Department
College Of Engineering

Proposed Minimum Salary
Commensurate

Job Location
Prairie View, Texas

Job Type
Staff

Job Description

The Postdoctoral Researcher will conduct research in Trustworthy AI with a focus on optimizing cyber-physical systems. The position integrates research, teaching, and service to support Prairie View A&M University's leadership in advancing research and education in Trustworthy AI. The Postdoctoral Researcher will engage in interdisciplinary collaborations with researchers from the College of Arts and Sciences and the College of Juvenile Justice, participate in professional development workshops, and contribute to grant development activities.

The appointment is a one-year, full-time position in residence at Prairie View A&M University. The university retains the option to renew the appointment for a second year based on performance, research progress, and availability of funding. The maximum term is two years.

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

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 position.

Responsibilities:

• Conduct independent and collaborative research addressing Trustworthy AI for improving cyber-physical systems.
  
• Lead experiments, simulations, and testbed prototyping activities.
  
• Engage in interdisciplinary research with faculty from the College of Arts and Sciences and the College of Juvenile Justice.
  
• Publish research findings in top-tier academic venues.
  
• Teach one course per semester within the College of Engineering or collaborating colleges.
  
• Mentor undergraduate and graduate students engaged in research.
  
• Participate in professional development workshops, write grant proposals, and contribute to other grant development activities. Perform other duties as assigned.
  

Required Education & Experience:

• Doctor of Philosophy (PhD) in Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (earned within the past three years).
  
• Research experience in Trustworthy AI with applications to cyber-physical systems.
  
• Evidence of scholarly productivity (e.g., strong publication record, software tools developed, testbeds designed, datasets created).
  

Preferred Qualifications:

• Teaching experience in related fields.
  
• Experience mentoring students in research.
  

Job Posting Close Date:

• 01/22/2026
  

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 jobs@pvamu.edu 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.


To apply, visit https://tamus.wd1.myworkdayjobs.com/en-US/PVAMU_External/job/Prairie-View-TX/Postdoctoral-Researcher--PIER---Trustworthy-Artificial-Intelligence--1_R-089887-1?workerSubType=0e1cd8ed3502012ddf607157e74b7d04&workerSubType=0e1cd8ed35020103f9b47257e74b7f04&workerSubType=0e1cd8ed350201da3af87057e74b7c04&workerSubType=0e1cd8ed35020108df607157e74b7e04

About Us
For more than 140 years, Prairie View A&M University (PVAMU) has been igniting passion in its students. With an established reputation for producing engineers, nurses and educators, PVAMU offers baccalaureate degrees, master’s degrees and doctoral degree programs through nine colleges and schools. The University has an enrollment of more than 8,500 students. Designated an institution of “the first class” in the Texas Constitution, PVAMU is the second-oldest public institution of higher education in the state and a member of The Texas A&M University System. The University is dedicated to fulfilling its land-grant mission of achieving excellence in teaching, research and service.

PVAMU is conveniently located near the rapidly growing residential and commercial area known as the Northwest Houston Corridor. The developing Northwest Houston Corridor offers newly developed suburban communities, a variety of shopping and dining near the Houston Premium Outlets and is a short, 35-minute commute into downtown Houston. For more information, visit www.pvamu.edu. Your career opportunities with a “University of the first class” begins here!

Prairie View A&M University is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

If you need assistance in applying for this job, please contact (936) 261-1730.








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