Materials Scientist – Material and Process Development

Vulcan Elements • Research Triangle Park, NC

9d

About The Position

As a Materials Scientist – Material and Process Development, you 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. 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.

Requirements

• 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.

Nice To Haves

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees