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Materials Analysis Engineer

Research Triangle, NC

Vulcan Elements is onshoring the manufacturing of rare-earth permanent magnets with a fully domestic supply chain and focus on decarbonization, servicing customers in critical industries such as defense, aerospace, and automotive. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency. We are seeking a highly motivated Materials Analysis Engineer to join our laboratory and analysis team. This individual will operate advanced analytical equipment, develop and refine testing methods, and ensure generation of reliable, high-quality data. In addition to hands-on laboratory work, the role involves advanced data analysis, including statistical and machine learning (ML) methods.

Responsibilities

  • Operate and maintain advanced materials characterization equipment, including:
    • Scanning Electron Microscopy (SEM) with EDS and EBSD
    • Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES)
    • Combustion and inert gas fusion analysis
    • Laser diffraction particle size measurement
    • Metallographic sample preparation (mounting, polishing, etching)
  • Develop and improve laboratory test methods to enhance accuracy, reproducibility, and efficiency.
  • Ensure consistent generation of high-quality data, including establishing quality control standards and calibration protocols.
  • Perform in-depth data analysis using statistical methods and machine learning techniques.
  • Develop, train, and validate ML models for materials data interpretation and prediction.
  • Document procedures, test results, and method development in a clear, structured manner.

Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business

Qualifications

  • Bachelor’s degree in Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering, or related field.
  • Hands-on experience with materials characterization equipment (SEM, EDS, EBSD, ICP-OES, etc.) and metallographic sample preparation.
  • Proficiency in data analysis, including statistics, scripting (Python) and data visualization.
  • Excellent problem-solving skills and ability to innovate in test method development.
  • Experience with machine learning frameworks (scikit-learn, PyTorch, etc.).
  • Knowledge of materials and mechanical thermodynamics, solidification, or powder metallurgy processes.
  • Previous experience applying simulation tools to materials processing or structural analysis.

 

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