Postdoc: Data Science for Intelligent Manufacturing

Oak Ridge National Laboratory

Oak Ridge (TN)

On-site

USD 65,000 - 90,000

Full time

14 days+

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Job summary

Oak Ridge National Laboratory (ORNL) is seeking Postdoctoral Research Associates in Data Science for Advanced Manufacturing. You will develop AI-driven, data-centric methods and digital twins to transform manufacturing quality and efficiency across diverse systems.

Responsibilities include real-time monitoring, model development, and deployment at scale, with opportunities to publish and contribute to high-impact programs.

Qualifications

  • PhD in a required field as listed.
  • Experience with multimodal data acquisition and ML in manufacturing.
  • Proficiency in Python and ML libraries (NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow).
  • Experience developing and deploying ML models and edge AI deployments.
  • Excellent communication and ability to work in multidisciplinary teams.

Responsibilities

  • Real-time quality monitoring and control of manufacturing processes.
  • Understand relationships between manufacturing intent, machine behavior, and part performance.
  • Optimize manufacturing processes for throughput, reliability, and quality.
  • Develop and deploy data analytics, ML, and statistical methods for multimodal datasets.
  • Develop, integrate, and evaluate AI/ML models for anomaly detection, predictive modeling, and process optimization.

Skills

Python programming
Data science
Machine learning
Communication
Multidisciplinary collaboration
Edge AI deployment

Education

PhD in engineering/science

Tools

Python ML libraries

Job description

Oak Ridge National Laboratory (ORNL) is seeking Postdoctoral Research Associates in Data Science for Advanced Manufacturing. You will develop AI-driven, data-centric methods and digital twins to transform manufacturing quality and efficiency across diverse systems.

Responsibilities include real-time monitoring, model development, and deployment at scale, with opportunities to publish and contribute to high-impact programs.

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