Post Bachelor
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
Research Associate – Applied Artificial Intelligence (AI) Scientist for Cybersecurity and Critical Infrastructure
- 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.
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.