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

Texas A&M University-Central Texas is hiring a Postdoctoral Researcher/Assistant Research Scientist to build agentic AI solutions for cybersecurity and support a multi-user HPC research environment.

Responsibilities

• Lead or support technical implementation, deployment, and configuration of a standalone High-Performance Computing (HPC) lab environment.
• Help establish user onboarding workflows, multi-tenant resource management policies, and hardware access procedures for broad use 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 including automated threat hunting, incident triage/response, and vulnerability assessment.
• Conduct rigorous experimental evaluations to benchmark AI performance and privacy safeguards in realistic cybersecurity settings.
• Supervise and guide undergraduate and graduate research assistants working on AI and cybersecurity initiatives.
• Author manuscripts for peer-reviewed journals and top-tier conference proceedings, including empirical benchmarks for the research community.

Requirements

• 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.
• Strong programming background, such as Python and C/C++.
• High self-motivation, creativity, and a collaborative mindset.

Preferred Qualifications

• 1–3 years of experience in cybersecurity, AI research, and/or HPC lab environments.
• Experience applying agentic AI (autonomous or multi-agent, tool-using LLM-based systems) to cybersecurity problems such as threat detection, automated incident response, or vulnerability assessment.
• Hands-on proficiency with AI frameworks and libraries including PyTorch, TensorFlow, Keras, and Jupyter.
• A track record of peer-reviewed publications.
• Experience conducting empirical evaluations, user studies, or usability assessments.

Technologies

• Python
• C/C++
• PyTorch
• TensorFlow
• Keras
• Jupyter

Salary

• USD 6,666 - 80,000 per yearly
• $80,000

Hours

• Monday - Friday; 8:00 am to 5pm
• Occasional weeknights and/or weekends

Work Location

• Onsite: Killeen, TX
• Not remote; work on campus is required

Supervision of Others

• This position does not supervise employees

Funding and Duration

• Currently funded through a grant
• Anticipated funding end date: November 22, 2027
• Texas A&M University - Central Texas is committed to retaining the position after the grant ends if financially feasible

Application Instructions

• Apply directly on the Texas A&M University-Central Texas Job Site
• Submit a cover letter and resume
• Include contact information for three professional references

Security-Sensitive Statement

• All positions are security-sensitive
• Applicants are subject to a criminal history investigation
• Employment is contingent upon institutional verification of credentials and/or other required information, including completion of the criminal history check