R&D Modeling Intern: Python Tools for Tire Simulations

Adecco; Milano; In loco; EUR 40.000 - 56.000; Tempo pieno

Descrizione del lavoro

Adecco Milano is seeking a Tools Development modeller to advance virtual tyre design through Python-driven automation and CAE tooling. You will collaborate with the company's global technical centers to harmonize simulation tools and methodologies, under the guidance of a tutor.

You’ll develop modelling tools, fix code issues, and contribute to innovative approaches shaping the future of tyre design. Teamwork and adaptability are essential in this dynamic setting.

Competenze

• Master’s degree in Mathematical / Mechanical / Aeronautical Engineering preferred.
• Programming languages (preferably Python) for automation of pre- and post-processing tools.
• Finite Elements simulations (implicit & explicit, Abaqus) ideally on tire applications.
• Non-relational database management systems (MongoDB).
• Fluency in Italian and English.

Mansioni

• Develop modelling tools and automate simulations to optimize hardware/software resources.
• Support users with simulation issues such as code bugs, HPC server behavior, and FE model quality.
• Gather feedback from tool users and contribute to bug fixes and improvements.
• Create documentation including release notes, checklists and user guides.
• Collaborate with testing, materials and processes teams when needed.

Conoscenze

Python programming

Finite element simulations

Italian & English fluency

Formazione

Master’s degree in Mathematical / Mechanical / Aeronautical Engineering

Strumenti

Abaqus

MongoDB

Descrizione del lavoro

Adecco Milano is seeking a Tools Development modeller to advance virtual tyre design through Python-driven automation and CAE tooling. You will collaborate with the company's global technical centers to harmonize simulation tools and methodologies, under the guidance of a tutor.

You’ll develop modelling tools, fix code issues, and contribute to innovative approaches shaping the future of tyre design. Teamwork and adaptability are essential in this dynamic setting.