Emerson

AI-Powered Rotating Equipment Diagnostics Intern

Emerson

internship

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Entry Level

About the role

  • Develop AI solution to analyze vibration data from rotating equipment to identify and diagnose issues
  • Gather, clean, and preprocess vibration data for AI algorithms
  • Extract features (frequency domain, time-domain statistics, time-frequency representations)
  • Experiment, train, and fine-tune machine learning and deep learning models for fault classification and severity assessment
  • Deploy trained models into user-facing interfaces and integrate with maintenance/monitoring systems
  • Continuously evaluate model performance and refine for accuracy and efficiency
  • Collaborate with subject matter experts and technology teams to implement solutions and improve equipment reliability

Requirements

  • Currently enrolled in an accredited college/university
  • Pursuing a degree in Data Science, Computer Science, Engineering, or related technical field
  • Legal authorization to work in the United States; sponsorship will not be provided
  • Junior or Senior year
  • Preferred: previous experience with data science and machine learning techniques
  • Preferred: knowledge of signal processing and vibration analysis
  • Preferred: experience in software development
  • Skills: data acquisition, data cleaning and preprocessing, feature engineering, model development (ML/DL), model deployment and integration, performance evaluation
  • Collaborative teamwork with subject matter experts and technology teams
  • Note: Individuals with temporary visas (E, F-1 including OPT/CPT, H-1, H-2, L-1, B, J, TN) are not eligible
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