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Texas A&M University System

Texas public university system

Postdoctoral Researcher/Assistant Research Scientist - AI, Cybersecurity & High-Performance Research Computing

AI ResearchConfirmed live in the last 24 hours
Full-timeKilleen, TX, USA$6.7k /mo

About the Job

Requirements

  • An earned doctorate in Computer Science, Computer Engineering, Information Systems, Software Engineering, Artificial Intelligence, Cybersecurity, or a closely related field, or an equivalent combination of education and related experience.
  • A strong programming background, such as Python or C/C++.
  • High self-motivation, creativity, and a collaborative mindset.

Responsibilities

  • Lead or assist with technical implementation, deployment, and configuration of a standalone High-Performance Computing lab environment; help establish user onboarding protocols, multi-tenant resource management policies, and hardware access workflows so the facility can be used broadly by cross-disciplinary researchers and students.
  • Architect, implement, and evaluate next-generation AI/ML frameworks, including agentic AI, deep learning, and privacy-preserving methods, for threat detection and mitigation.
  • Design, build, and evaluate agentic AI systems, such as autonomous or multi-agent, tool-using LLM-based agents, for cybersecurity use cases such as automated threat hunting, incident triage/response, and vulnerability assessment.
  • Execute rigorous experimental evaluations to benchmark AI performance and privacy safeguards in realistic cybersecurity environments.
  • Supervise and guide undergraduate and graduate research assistants working on AI and cybersecurity initiatives.
  • Author manuscripts for publication in peer-reviewed journals and top-tier conference proceedings, providing empirical benchmarks for the broader research community.

Desired Qualifications

  • One to three years of experience in cybersecurity, AI research, and/or High-Performance Computing lab environments.
  • Demonstrated experience with agentic AI applied to cybersecurity problems such as threat detection, automated incident response, or vulnerability assessment.
  • Hands-on proficiency with AI frameworks and libraries such as PyTorch, TensorFlow, Keras, and Jupyter.
  • A track record of peer-reviewed scientific publications.
  • Experience conducting empirical evaluations, user studies, or usability assessments.

About the Company

Texas A&M University System

Texas public university system

Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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