Metallurgy Modeling Scientist

Ref 2578337 | Date: 11 Sept 2026

Novelis Switzerland SA

Novelis is driven by the desire to shape a sustainable world together.

As a global leader in innovative products and services and the world's largest recycler of aluminium, we work in partnership with customers in the automotive, aerospace, can, and specialty sectors to provide solutions that enhance the benefits of lightweight aluminium.

We have a coordinated network of technically sophisticated rolling and recycling operations across 29 sites in 9 countries in North America, South America, Europe, and Asia, with 12,750 employees worldwide. The headquarters is located in Atlanta, USA.

Our customers include some of the most important and well-known brands in the world, including Coca-Cola, BMW, Jaguar Land Rover, Airbus, Boeing, Nespresso, Samsung, and others. Furthermore, Novelis is at the forefront of the industry thanks to its sustainability and recycling efforts.

Participate in our mission to create a sustainable world and start working as soon as possible at our site in Sierre, Switzerland.

Metallurgy Modeling Scientist (m/f/d)

We are currently seeking a highly motivated and qualified engineer or researcher in the fields of computational engineering, materials science, metallurgy, or mechanical engineering to join our team at our site in Sierre, Switzerland.

The future development and production of high-quality recycled aluminium alloys require fast and adaptive processes that link the manufacturing process and metallurgy in real time, as well as accurate performance prediction.

Your responsibilities:

You will be part of the team responsible for pursuing the development of advanced R&D modelling frameworks that can be applied to different activities globally. This includes the following responsibilities:

• Develop an Integrated Computational Materials Engineering (ICME) framework, combining physics-based models, data-driven approaches, and digital tools for industrial-scale applications.
• Translate knowledge relating to aluminium alloys, metallurgy, rolling, and finishing processes into predictive microstructure and performance models enabling virtual process and product development.
• Collaborate with production sites to ensure successful adoption and the realization of added value for the company.

Please apply before 2 October 2026.

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We are currently seeking a highly motivated and skilled engineer or scientist in the field of Computational Engineering, Materials Science, Metallurgy, or Mechanical Engineering to join our team at our Sierre location in Switzerland.

The future development and production of high-quality recycled aluminium alloys require fast and adaptive processes that link process and metallurgy in real time, along with precise performance prediction.

Your responsabilities:

You will be part of the team to further develop advanced modelling frameworks in R&D

that can be applied across different operations globally. This includes the following

responsibilities:

• Develop an Integrated Computational Materials Engineering (ICME) framework, combining physics-based models, data-driven approaches, and digital tools for industrial-scale applications.
• Translate aluminium alloy, metallurgy, rolling and finishing process knowledge into predictive microstructure and performance models that enable virtual process and product development.
• Collaborate with manufacturing sites, ensuring successful adoption and business value realization.

How to convince us:

• Master's degree in Materials Science, Metallurgy, Computational Engineering, or a related field; PhD preferred.
• Strong expertise in physical metallurgy, with deep knowledge of texture evolution, recrystallization and precipitation phenomena
• Experience with computational materials engineering approaches and modelling tools such as VPSC, DAMASK, CP-FEM
• Proficiency in scientific programming and data analysis ( Python, MATLAB or similar).
• Ability to bridge the gap between advanced materials science and industrial application by communicating complex technical concepts clearly across all organizational levels.
• Fluent in English; French is an advantage.
• Demonstrated innovation mindset, curiosity and passion for continuous learning, with a self-driven, highly autonomous and result-oriented working style.

Please apply before 2nd October, 2026.

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