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Senior Modeling Scientist @ Novelis R&D Americas, Kennesaw GA

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About the job

The Senior Modeling Scientist is a key member of Novelis’ Americas R&D organization, taking a leading role in the development and deployment of multiphysics, multiscale materials modeling and physics guided artificial intelligence modeling capability within Novelis to accelerate discovery and development of sustainable products and processes. A major focus is bridging microstructural length scales, as applied to Novelis’ products (aluminum sheet and plate) and its manufacturing processes (aluminum casting, rolling, heat treatments etc.), and development of a deeper understanding of alloy chemistry - thermomechanical processing – microstructure – property – product performance relationships using physics-based approaches like large scale crystal plasticity finite element modeling and data-driven approaches like machine learning and high-throughput computations.


Working closely with the metallurgists, product, process, and application engineers at the Customer Solution Centers, the successful applicant will apply their modeling expertise to a variety of technical challenges related to industrial sheet metal production and the manufacturing of complex products. The successful applicant will have the ability to gather critical materials inputs for their models as well as to test their ideas under close to real-world conditions by leveraging Novelis’ substantial laboratory testing and characterization facilities and pilot-scale equipment before scale-up to Novelis plants or customer operations. There will be opportunity to travel, to collaborate with our extensive network of academic and industrial partners, colleagues in Novelis’ worldwide plants, regional research and technology centers and Customer Solution Centers around the globe and to directly support our customers. The role will involve working in and leading multi-disciplinary teams to combine modeling with experimental work for maximum impact on the speed and depth of our materials research. The role provides significant potential for technical growth and a real chance to impact the future success of Novelis’ global businesses.



  • Act as company-wide subject matter expert for multiscale, multiphysics modeling and application of machine learning to materials modeling in support of global R&D projects.
  • Establish advanced materials and data driven models to develop capabilities that will guide and accelerate development of transformational and sustainable products and processes.
  • Define and lead modeling driven projects to address critical product and process development challenges.
  • Partner with wide range of internal specialists to develop solutions e.g., with product metallurgists, rolling process engineers, formability, surface, corrosion and computational material scientists.
  • Establish and lead supporting partnerships with universities, national labs and other external organizations.
  • Support wider adoption and application of both physics and data driven modeling tools amongst other specialists.
  • Collaborate with colleagues to develop associated experimental programs that provide supporting data or understanding critical to model development.



  • PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical engineering.
  • Minimum experience of 2 – 4 years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry.
  • Candidates will have experience in the use of LS-DYNA, Abaqus, ANSYS, Comsol or other well-known commercial FE software, as well as in some of the following:
  • Large scale crystal plasticity modeling, e.g., CPFEM, DAMASK, VPSC.
  • Machine learning e.g., Digital twins, Bayesian optimization, computer vision, high throughput computations.
  • Programming languages, e.g., Python, FORTRAN, C, C++, R.
  • Multiphysics modeling e.g., fully and sequentially coupled thermo – electro – mechanical – magnetic analysis and computational fluid dynamics.
  • FE Pre/post processors, user subroutines.
  • Willingness to learn or working knowledge of technologies such as SQL, MySQL, MongoDB, Flask, Microsoft Azure.


Applicants are particularly sought who combine strong modeling capabilities with specialized capabilities in the following areas:


  • Mechanical behavior of metals, in particular forming, texture evolution, damage and fracture of aluminum alloys;
  • Metallurgy of aluminum alloys;
  • Use of experiments to validate models and analysis of the data;
  • Advanced models for the mechanical behavior of metallic materials and their use in FE simulations.
  • Direct or collaborative experience in experimental validation of computational models
  • Experience in application of data science methods to materials modeling.
  • Technical leadership experience in R&D with demonstration of good project management skills.
  • Broad science and engineering background and ability to connect knowledge across multiple disciplines.
  • Capability to thrive in a team environment, communicate well, and to engage and influence wide variety of stakeholders throughout the organization.
  • International outlook and desire to travel to other Novelis or customer locations.


Please send in your Resume/CV to or apply directly at or apply via Linkedin -


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