Applied AI Scientist for Smart Manufacturing

Johns Hopkins University; Gaithersburg (MD); On-site; USD 50,000 - 100,000; Full time

Job summary

Johns Hopkins University invites applications for a PREP Research Associate in Applied AI for Manufacturing in Gaithersburg, MD. This PREP opportunity focuses on trustworthy AI solutions to enhance U.S. manufacturing competitiveness and quality, spanning design, evaluation, deployment, and transition to operations.

The role emphasizes technical development, cross-disciplinary collaboration, and pilot demonstrations to advance AI-enabled manufacturing research and practice.

Qualifications

• Experience conducting research and measurement science in AI/ML, data science, or related fields to manufacturing contexts.
• Ability to develop, evaluate, or implement AI-related methodologies, frameworks, or pilot projects.
• Ability to translate research outcomes into practical, measurable industry or government impact.

Responsibilities

• Design, develop, and deploy applied AI solutions for manufacturing challenges (process optimization, quality, predictive maintenance).
• Integrate AI into manufacturing systems and workflows to improve performance and decisions.
• Conduct advanced research and analyses to evaluate trustworthy AI approaches for manufacturing.
• Collaborate with researchers across NIST, academia, industry, and partners to advance AI-enabled manufacturing research.
• Support transitions of research into scalable, operational solutions for U.S. manufacturers.

Skills

AI/ML research

Data science

Analytical thinking

Communication skills

Multidisciplinary collaboration

Job description

Johns Hopkins University invites applications for a PREP Research Associate in Applied AI for Manufacturing in Gaithersburg, MD. This PREP opportunity focuses on trustworthy AI solutions to enhance U.S. manufacturing competitiveness and quality, spanning design, evaluation, deployment, and transition to operations.

The role emphasizes technical development, cross-disciplinary collaboration, and pilot demonstrations to advance AI-enabled manufacturing research and practice.