ICME Metallurgy Modeling Scientist

UNAVAILABLE; Mittelwallis; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Novelis in Sierre, Switzerland seeks a motivated engineer or scientist in Computational Engineering, Materials Science, Metallurgy, or Mechanical Engineering to join our R&D team.

You will help develop ICME frameworks linking physics, data, and digital tools for industrial-scale applications, translating alloy and processing knowledge into predictive models, and collaborating with manufacturing sites to realize value.

Qualifikationen

• Master's degree required in Materials Science, Metallurgy, Computational Engineering or related field; PhD preferred.
• Strong expertise in physical metallurgy with deep knowledge of texture evolution, recrystallization and precipitation phenomena.
• Experience with ICME approaches and modelling tools such as VPSC, DAMASK, CP-FEM.
• Proficiency in scientific programming and data analysis (Python, MATLAB).
• Ability to bridge advanced materials science and industrial applications across organizational levels.
• Fluent in English; French is an advantage.
• Demonstrated innovation mindset and autonomous, results-driven work style.

Aufgaben

• Develop an Integrated Computational Materials Engineering (ICME) framework for industrial-scale applications.
• Translate alloy, metallurgy, rolling and finishing process knowledge into predictive microstructure and performance models.
• Collaborate with manufacturing sites to ensure successful adoption and realization of business value.

Kenntnisse

Physical metallurgy

Texture evolution

Recrystallization & precipitation

Python

MATLAB

Ausbildung

Master's degree in Materials Science

PhD preferred

Tools

VPSC

DAMASK

CP-FEM

Jobbeschreibung

Novelis in Sierre, Switzerland seeks a motivated engineer or scientist in Computational Engineering, Materials Science, Metallurgy, or Mechanical Engineering to join our R&D team.

You will help develop ICME frameworks linking physics, data, and digital tools for industrial-scale applications, translating alloy and processing knowledge into predictive models, and collaborating with manufacturing sites to realize value.