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Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Modeling Scientist

Process EngineeringPosted on Nov 5
Full-timeKennesaw, GA, USANo salary listed

About the Job

Requirements

  • A PhD in metallurgy, metallurgical engineering, materials science or engineering, or mechanical engineering is required.
  • At least 2 years of experience after PhD completion in multiscale, multiphysics modeling and applying machine learning, gained in industrial research and development or in partnership with industry, is required.
  • Experience using LS-DYNA, Abaqus, ANSYS, COMSOL, or other well-known commercial finite element software is required.
  • Experience in one or more of large-scale crystal plasticity modeling, including CPFEM, DAMASK, or VPSC; multiphysics modeling, including coupled thermo-electro-mechanical-magnetic analysis and computational fluid dynamics; finite-element pre/post-processors; or user subroutines is required.
  • A strong foundation in statistical modeling, machine learning algorithms, model evaluation techniques, and applying these methods to materials modeling is required.
  • Strong Python programming skills are required; experience with SQL, data-intensive systems, and cloud systems such as Microsoft Azure is required.
  • Demonstrated experience building machine-learning workflows, pipelines, and web applications or interactive dashboards is required.
  • Technical leadership experience in research and development, with demonstrated project-management skills, is required.
  • A broad science and engineering background and the ability to connect knowledge across multiple disciplines are required.
  • The ability to work in a team environment, communicate effectively, and engage and influence a wide variety of stakeholders is required.
  • An international outlook and willingness to travel to Novelis or customer locations are required.
  • Candidates must be legally authorized to work in the United States without current or future visa sponsorship.

Responsibilities

  • Act as the company-wide subject matter expert for multiscale, multiphysics modeling and applying machine learning to materials modeling in support of global research and development projects.
  • Establish advanced materials and data-driven models to develop capabilities that guide and accelerate the development of transformational and sustainable products and processes.
  • Design, develop, and validate statistical and machine-learning models for prediction, optimization, and simulation.
  • Build end-to-end machine-learning workflows and pipelines, including data ingestion, feature engineering, training, evaluation, versioning, and deployment.
  • Define and lead modeling-driven projects addressing critical product and process development challenges.
  • Partner with internal specialists, including product metallurgists, rolling process engineers, formability, surface, and corrosion specialists, and computational material scientists, to develop solutions.
  • Establish and lead partnerships with universities, national laboratories, and other external organizations.
  • Support wider adoption and application of physics-based and data-driven modeling tools among other specialists.
  • Collaborate with colleagues to develop experimental programs that provide supporting data or understanding critical to model development.

Desired Qualifications

  • Specialized capability in the mechanical behavior of metals, particularly forming, texture evolution, damage, and fracture of aluminum alloys.
  • Specialized capability in the metallurgy of aluminum alloys.
  • Experience using experiments to validate models and analyze data.
  • Experience with advanced models for the mechanical behavior of metallic materials and their use in finite-element simulations.
  • Direct or collaborative experience in experimental validation of computational models.
  • Experience designing or implementing agnetic AI systems.

About the Company

Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Novelis produces flat-rolled aluminum products and is the world’s largest aluminum recycler. It creates aluminum sheets and plates for aerospace, beverage cans, automotive, and high-end markets through an integrated network of rolling mills and recycling facilities worldwide, using scrap and primary material to make consistent, high-quality products. It differentiates itself by its global scale and the integration of rolling and recycling across multiple regions, plus a strong focus on health, safety, and community partnerships. Its goal is to be the leading global provider of flat-rolled aluminum and aluminum recycling solutions, delivering reliable, sustainable products worldwide.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.2B
Headquarters
Zurich, Switzerland
Founded
2005

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