Materials Scientist – Material and Process Development at Vulcan Elements

Research Triangle Park, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Materials Science, Process Development, Computational Modeling, Python, ANSYS, Thermomechanics, Transport Phenomena, Microstructural Evolution, DFT, CALPHAD, Phase Field, Molecular Dynamics, Automation, Simulation, Manufacturing Processes, Metallic Materials

Industry

Manufacturing

Description

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. Position Overview 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. 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 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.

Responsibilities

Develop and apply physics-based models for process simulations and build modeling workflows integrating experimental data. Communicate model outputs to support process design and optimization.