Post Bachelor
The Applied Artificial Intelligence (AI) Scientist for Manufacturing will serve as a technical expert in the
design, development, evaluation, and deployment of trustworthy AI technologies to advance U.S.
manufacturing competitiveness, productivity, and quality. The successful candidate will contribute to
cutting-edge research initiatives and support the transition of innovative AI-enabled manufacturing
solutions from the laboratory to operational manufacturing environments.
Applied Artificial Intelligence (AI) Scientist for Manufacturing
- Experience conducting research and measurement science in artificial intelligence, machine
learning, data science, or related fields to address challenges in manufacturing, industrial
systems, or other critical and emerging technology areas. - Experience developing, evaluating, or implementing AI-related methodologies, frameworks,
standards, benchmarks, 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), trustworthy AI principles, 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 addressing key manufacturing
challenges, including process optimization, quality assurance, predictive maintenance, digital
engineering, and production planning. - Integrate AI technologies into manufacturing systems, workflows, and operational processes to
improve performance, efficiency, and decision-making.
Research and Technical Analysis:
- Conduct advanced research and technical analyses to develop and evaluate trustworthy AI
approaches for manufacturing applications. - Contribute to measurement science research supporting the evaluation, validation, and
assurance of AI-enabled manufacturing systems.
Technical Collaboration and Coordination:
- Collaborate with researchers and technical experts across NIST, academia, industry, and external
partner organizations to advance AI-enabled manufacturing research. - Support the development of technical guidance, best practices, and standards-related activities
related to AI in manufacturing.
Technology Transition and Stakeholder Engagement:
- Support the transition of research outcomes into scalable, operational solutions for U.S.
manufacturers and manufacturing technology stakeholders. - Contribute to pilot implementations, technology demonstrations, and industry engagement
activities that promote the adoption of AI-enabled manufacturing solutions.