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Materials Scientist - Material and Process Development

VULCAN ELEMENTS

VULCAN ELEMENTS

Triangle, NC, USA
Posted on Jan 27, 2026

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency.

This role is focused on physics-based and hybrid computational modeling of metallic materials and manufacturing processes and can have one of two specialties: computational materials engineering or hands-on experimental validation. The engineer will develop, validate, and deploy predictive models spanning process physics, microstructural evolution, and property response. This position directly supports process design, scale-up, and performance optimization through simulation-driven insight.

Key Responsibilities

  • Develop and apply physics-based models using ANSYS (Rocky, Mechanical, Maxwell, Fluent) for thermal, electromagnetic, mechanical, and particulate process simulations.
  • Build process–structure–property modeling workflows integrating experimental and production data.
  • Implement Python-based automation for simulation execution, parameter studies, and result post-processing.
  • Expand predictive capability using DFT, CALPHAD, Phase Field, and Molecular Dynamics where appropriate.
  • Develop reduced-order and hybrid physics–ML models for rapid prediction and process optimization.
  • Define modeling assumptions, boundary conditions, and validation strategies tied to experimental data.
  • Communicate model outputs in terms directly actionable for process and design engineers.

Qualifications

  • B.S. or higher in Materials Science & Engineering, Metallurgy, or closely related field.
  • Demonstrated hands-on experience with metallic materials processing or manufacturing.
  • Strong proficiency in Python for scientific computing and automation.
  • Experience with ANSYS simulation platforms.
  • Solid understanding of thermomechanics, transport phenomena, and microstructural evolution.
  • Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

Preferred Skills

  • Experience with DFT, CALPHAD, Phase Field, or Molecular Dynamics.
  • Experience integrating physics-based and data-driven models.
  • Background in magnetics, powder processing, thermal processing, or solidification modeling.