Post-baccalaureate

Research Associate – Applied Artificial Intelligence (AI) Scientist for Cybersecurity and Critical Infrastructure

Project PREP0004898 · NIST sponsor Craig I. Schlenoff

Overview

The Applied Artificial Intelligence (AI) Scientist for Cybersecurity and Critical Infrastructure will
serve as a technical expert in the design, development, evaluation, and deployment of
trustworthy AI technologies to enhance the cybersecurity of critical infrastructure systems. The
successful candidate will contribute to cutting-edge research initiatives and support the
transition of innovative AI-enabled cybersecurity solutions from the laboratory to operational
environments.

Work Location: Physically at NIST (Gaithersburg, MD),Physically at University,Telework

Qualifications

  • Experience conducting research and measurement science in artificial intelligence, machine learning, or related fields to address challenges in critical and emerging technology areas, including cybersecurity.
  • Experience developing, evaluating, or implementing AI-related guidelines, frameworks, standards, or pilot projects.
  • Demonstrated ability to transition research outcomes into practical applications that deliver measurable impact to industry or government stakeholders.
  • Knowledge of the NIST AI Risk Management Framework (AI RMF) and related AI guidance documents.
  • Strong analytical, technical, and communication skills, with the ability to collaborate effectively in multidisciplinary research environments.

Research Proposal

Key Responsibilities include, but are not limited to:

Technical Development and Implementation:

  • Design, develop, and deploy applied AI solutions focused on strengthening cybersecurity capabilities for critical infrastructure environments.
  • Integrate AI technologies into cybersecurity workflows, tools, and operational processes.

Research and Technical Analysis:

  • Conduct advanced research and technical analyses to develop and evaluate trustworthy AI approaches for cybersecurity applications.
  • Develop methodologies and frameworks that ensure AI systems are robust, secure, explainable, and resilient to adversarial threats.

Technical Collaboration and Coordination:

  • Collaborate with researchers and technical experts across NIST and external partner organizations to advance AI-enabled cybersecurity research.
  • Evaluate emerging AI technologies and assess their applicability to critical infrastructure cybersecurity challenges.

Technology Transition and Stakeholder Engagement:

  • Support the transition of research outcomes into scalable, operational solutions for U.S. industry partners and critical infrastructure stakeholders.
  • Contribute to pilot implementations, technology demonstrations, and industry engagement activities that promote adoption of research-based solutions.