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Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Lead Modeling Scientist

Process EngineeringConfirmed live in the last 24 hours
Full-timeKennesaw, GA, USANo salary listed

About the Job

Requirements

  • An M.S. or Ph.D. in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling.
  • Expertise in metallurgy and materials science, and process and microstructure modeling for metallic systems, especially aluminum alloys.
  • Proficiency in modeling software such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat, and in numerical methods including finite element, finite difference, cellular automata, and phase-field modeling.
  • Programming skills in MATLAB, FORTRAN, and C/C++, along with proficiency in statistical analysis tools such as JMP and R.
  • Strong understanding of metallurgical principles and characterization techniques.
  • Technical communication and project management skills.
  • A proven track record of solving plant issues through modeling with measurable business impact.
  • Experience deploying predictive models in production environments to improve throughput and quality.

Responsibilities

  • Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including homogenization, heat treatment, precipitation, recrystallization, texture development, and grain growth.
  • Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing, and related processes for flat-rolled aluminum products.
  • Develop constitutive behavior models for flow stress, work hardening, and strain-rate sensitivity.
  • Develop formability and failure-prediction models for FLD, FLC, earing, spring-back, and bendability.
  • Create and refine process simulation tools using finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior.
  • Integrate modeling results with experimental characterization techniques, including SEM, EBSD, XRD, and DSC, and plant data to validate predictions and continually improve model accuracy.
  • Build thermodynamic and kinetic models using tools such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization.
  • Lead modeling projects end to end, from scoping and model development through validation and deployment, to improve or innovate aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets.
  • Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness.
  • Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality.
  • Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents.

Desired Qualifications

  • Experience with flat-rolled aluminum products is preferred.
  • Machine learning for materials, including property prediction, process-window optimization, and defect classification.
  • Digital twin development for end-to-end process-to-property simulation.
  • High-performance computing, including parallel simulations and cloud computing.
  • Data pipelines and model deployment, including MLOps, version control, and model governance.
  • Design of Experiments (DOE).
  • Multi-variable regression and sensitivity analysis.
  • Model calibration and uncertainty quantification.

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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