Postdoctoral Researcher/Assistant or Associate Research Scientist
Texas A&M University System • Killeen, TX12d • Onsite
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Postdoctoral Researcher/Assistant Research Scientist – AI, Cybersecurity & High-Performance Research Computing
Texas A&M University System•Killeen, TX
•Onsite
About The Position
Texas A&M University–Central Texas is hiring a Postdoctoral Researcher/Assistant or Associate Research Scientist to work in the Center for Cybersecurity Innovation. The role focuses on Artificial Intelligence, cybersecurity, and high-performance computing, supporting research in agentic AI, next-generation deep learning architectures, privacy-preserving techniques, automated real-time cyber threat detection and mitigation, and the development of a dedicated, multi-user HPC lab. The HPC facility will provide open, high-capacity computing infrastructure for researchers, faculty, and students across the university. The successful candidate will develop practical agentic AI solutions for cybersecurity anomaly detection, conduct empirical evaluations, investigate privacy-preserving methods, and help establish and operate the HPC lab. The position is currently grant-funded, with funding anticipated to end November 22, 2027. The university intends to retain the position after the grant ends if financially feasible. This is an on-campus, non-remote position in Killeen, Texas. Applicants must be authorized to work for any U.S. employer; the posting notes that restrictions may affect the university’s ability to sponsor employment visas.
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 or C/C++.
- High self-motivation, creativity, and a collaborative mindset.
Nice To Haves
- 1–3 years of experience in cybersecurity, AI research, and/or high-performance computing lab environments.
- Demonstrated experience with agentic AI, such as autonomous or multi-agent, tool-using LLM-based systems applied to cybersecurity problems including 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.
Responsibilities
- Lead or assist with technical implementation, deployment, and configuration of a standalone High-Performance Computing lab.
- Help establish user onboarding protocols, multi-tenant resource management policies, and hardware access workflows for the HPC facility.
- Architect, implement, and evaluate AI/ML frameworks—including agentic AI, deep learning, and privacy-preserving methods—for threat detection and mitigation.
- Design, build, and evaluate agentic AI systems for cybersecurity use cases such as automated threat hunting, incident triage and response, and vulnerability assessment.
- Conduct 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 peer-reviewed journals and top-tier conference proceedings, providing empirical benchmarks for the research community.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
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