PURPOSE AND CONTENT OF THE ROLE
Replicate the existing experimental tests and tire operational conditions in FEA environment
Enable basic mechanism understanding by other R&D functions in the technical center
Support Project Engineers in the application of developed FE simulation models
Work strictly in contact with other team members in charge of Digital Engineering Solutions (Physics-based and Data-driven Predictive Modelling Engineers / Digital Twin - R&D Virtualization Platform Engineers / Real-time and Vehicle Modelling Engineers)
RESPONSIBILITIES / MAIN TASKS
Cooperate with other Digital Engineering team members, to : Expand / enhance FE analysis capabilities of the Technical Center;
Leverage data coming from FE simulations to feed Advanced Analytics and Machine Learning Models;Develop / enhance advanced simulations, especially those more extensively influenced by the presence of tread pattern (Wet / Hydroplaning / Snow / Wear / Ice).
Cooperate with other functions in the Technical Center, to : Intercept their needs requiring the implementation of brand new FEA simulations, as well as the maintenance / evolution of existing ones;
Make the FE technology broadly available and easy to use for all stakeholders and / or final users;Validate implemented simulations by comparing their outcomes with relevant experimental results;
Enable the development of physical mechanism understanding through proper FE analysis;Cooperate with other Technical Centers (i.
e., Japan and US), as well as other business functions in Bridgestone EMIA Business Unit, to effectively share; information, build common strategies and exploit synergies to enhance the simulation and modelling capabilities of R&D area.
The Bridgestone Essence will lead his / her activity through the four foundational behaviors :
Seijitsu-Kyocho (Integrity and Teamwork);
Shinshu-Dokuso (Creative Pioneering);
Genbutsu-Genba (Decision-Making Based on Verified, On-Site Observations);
Jukuryo-Danko (Decisive Action after Thorough Planning).
COMPETENCES & SKILLS
Possessing a very good knowledge of mechanics, paired with a proven ability to think out-of-the-box
Proactive and open to propose original and appropriate analysis methodologies to shortly catch and describe tire properties and criticalities
Open minded, independent and able to create link with other functions
Able to implement complex FE-based models autonomously
Ready to provide the rationale underlying hisher choices of a particular solution
Strong knowledge of Continuum Mechanics (Solid Mechanics, Applied and Theoretical);
Strong knowledge of Finite Element Theory (Implicit and Explicit Codes);
Abaqus and LS-Dyna are assets (Nastran and Wave6 are plus);
FortranPython Scripting for Abaqus is a plus;
HyperWorks Suite (HyperMesh and HyperView at least, Tcl for HyperWorks is a plus);
Knowledge of Tire Mechanics is an asset;
Knowledge of CFD codes (e.g., OpenFoam, Fluent) is a plus;
Basic knowledge of Advanced Analytics and Machine Learning core concepts;
MS Office Suite (Excel, Power Point and Project at least).
Very Good written and verbal communication in English;
Able to prepare and execute both technical and executive presentations and ready to represent his / her argumentations in front of a diverse and multicultural audience;
Able to plan proper project schedule, spanning over 16+ weeks.;
Able to carry on his / her projects independently, he / she has a strong communication capability;
Proactive in providing new ideas on how to apply his / her capabilities in Bridgestone environment;
Ready to continuously learn (with a kaizen / continuous improvement approach).
Minimum MS degree in Mechanical / Aerospace Engineering (or similar degrees in Industrial Area) with a specific focus on numerical analysis
Minimum 3-years working experience in similar roles
Automotive experience / knowledge is a plus