Predictive Modelling Digital Engineer
Bridgestone
Rome
5 gg fa
source : EuroEngineerJobs

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

    Analytical SkillsCreativity

  • 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
  • Attitude

  • 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
  • Technical Background

  • 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).
  • Other Skills

  • 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).
  • EDUCATIONEXPERIENCE

  • 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
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