Modeling and Simulation Manager

Vulcan Elements

Durham (NC)

On-site

USD 140,000 - 230,000

Full time

14 days+

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Job summary

Vulcan Elements in Durham, NC is seeking a Modeling and Simulation Manager to lead a multidisciplinary team of scientists and engineers in physics-based and data-driven modeling of magnets and processing. The role combines hands-on modeling with people leadership to improve magnet performance, production yields, and process efficiency.

You will guide FEA, CFD, thermodynamic modeling, and image analysis to create quantitative links between structure, processing conditions, and final properties.

Qualifications

  • Ph.D. or M.S. in a quantitative field as stated above.
  • 5+ years hands-on experience with COMSOL, Fluent, or equivalent and FEA.
  • Strong math modeling background with image analysis or ML for materials data.
  • Familiarity with rare earth magnets and NdFeB systems is beneficial.
  • Experience leading or mentoring a small technical team.

Responsibilities

  • Build and manage a matrixed modeling and simulations team across FEA, CFD, and thermodynamic modeling.
  • Translate R&D priorities into a modeling agenda with clear deliverables and timelines.
  • Establish standards for model validation, documentation, and peer review.
  • Present results to technical and executive stakeholders and mentor researchers.

Skills

Multiphysics modeling
Leadership
Mathematical modeling
Data analysis
Scientific communication

Education

Ph.D. in Materials Science, Chemical Engineering, Mechanical Engineering, Applied Physics, or related field
M.S. in a related quantitative field

Tools

COMSOL
Fluent
Finite Element Analysis (FEA)
VASP
Quantum ESPRESSO
MATLAB
Python
Git

Job 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.

As the Modeling and Simulation Manager you will grow and lead a multidisciplinary team of computational scientists and engineers, driving physics‑based and data‑based modeling efforts that directly improve magnet performance, production yields, and process efficiency.

This is a hands‑on technical leadership role. You will both contribute directly to modeling work and grow a team with deep expertise across a variety of modeling and simulation modalities, including but not limited to mechanical, fluid dynamics, electronic structure, and mathematical and image analysis. Your group’s output will shape process decisions, reduce experimental iteration cycles, and create quantitative links between structure, processing conditions, and final properties.

This role will initially support pilot‑scale and R&D activities (RTP, NC), with the potential to contribute to commercial plant operations (Benson, NC) in the next year.

The ideal candidate has hands‑on experience with one or more of COMSOL, Fluent, finite element analysis, thermodynamic modeling (FactSage, ThermoCalc), mathematical and image analyses, and density functional theory, as well as experience as a people leader.

Responsibilities

Build and manage a matrixed modeling and simulations team with broad expertise spanning Finite element analysis, Computational fluid dynamics, Stress/Strain analysis, thermodynamic modeling, mathematical/image analysis, and DFT; define hiring roadmap, team structure, and capability milestones.

  • Translate R&D priorities into a modeling agenda with clear deliverables, timelines, and success criteria in partnership with process engineering, materials science, and production teams.
  • Foster a culture of scientific rigor, reproducibility, and rapid iteration; establish standards for model validation, documentation, and peer review.
  • Present results and recommendations to technical and executive stakeholders; communicate uncertainty and model limitations clearly.

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

Qualifications
  • Ph.D. or M.S. in Materials Science, Chemical Engineering, Mechanical Engineering, Applied Physics, or a related quantitative field.
  • 5+ years of hands‑on experience with COMSOL, Fluent, or equivalent; demonstrated ability to build and validate coupled multiphysics models and finite element analysis (FEA).
  • Strong mathematical modeling background; experience with image analysis, machine learning, statistical modeling, or signal processing applied to materials characterization data.
  • Familiarity with rare earth magnets, NdFeB alloy systems, or related metallic/magnetic materials.
  • Experience leading or mentoring a small technical team; ability to set priorities, provide technical guidance, and develop junior researchers.
  • Proficiency in Python, MATLAB, Git, or equivalents for scripting, data analysis, and model post‑processing.
  • Strong written and verbal communication skills; able to produce clear technical reports and present complex results to non‑specialist audiences.

Must be a U.S. Person due to required access to U.S. export‑controlled information or facilities.

Preferred Qualifications
  • Direct experience with DFT codes (VASP, Quantum ESPRESSO, or similar) or demonstrated ability to direct and interpret DFT studies.
  • Background in rare earth processing, hydrometallurgy, or magnet manufacturing.
  • Experience with grain boundary diffusion processes or sintering simulation.
  • Familiarity with thermodynamic modeling and databases such as FactSage, or ThermoCalc.
  • Knowledge of machine learning principles for data analysis.
  • Familiarity with electron microscopy image analysis (SEM/EDS/EBSD) and quantitative microstructural characterization.
  • Publication record in computational materials science, process simulation, or permanent magnets.
  • Experience managing budgets, external collaborators, or academic partnerships.
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