Metallurgy Modelling Scientist (m/f/d)

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 speciality 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 world’s most important and well-known brands, including Coca-Cola, BMW, Jaguar Land Rover, Airbus, Boeing, Nespresso, Samsung, and others. Furthermore, Novelis is at the forefront of the industry through its sustainability and recycling efforts.

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

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 Sierre site in Switzerland.

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

Your responsibilities:

You will be part of the team responsible for further developing advanced modelling frameworks in R&D that can be applied across different global operations. 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 related 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 realisation of business value.

Please apply before 2nd 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 realisation.

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, recrystallisation 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 (e.g. Python, MATLAB or similar).
• Ability to bridge the gap between advanced materials science and industrial application by communicating complex technical concepts clearly across all organisational 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.