Job Title

Job ResponsibilitiesTo develop crash safety performance of automobiles using CAE.Conduct crash analysis using a vehicle FEM model, analyze the results, prepare reports, and provide feedback to model development.To evaluate crash safety performance, we will develop technologies:-that currently lacks.-Specific details of technological developmentWe will improve CAE models and develop new analysis methods to improve the prediction accuracy of vehicle body deformation, deceleration, damage to high-voltage components (batteries, motors, etc.) and functional components (door latches, seats, etc.), and occupant injury values at the time of the crash.Development of restraint systems (DAB, PAB, SAB, CAB)Establishment of CAE result analysis method using AI- AI learns past SMC data and outputs predicted results- Use Generated AI to create training data for AI use (reinforce past data)We will use CAE to study a highly robust vehicle body structure that does not change in deformation characteristics or deformation points in order to achieve stable performance and provide feedback to the platform.Software KnowledgeLS-DYNA or PAM-CRASH (Mandatory)Key Skills/CompetenciesKnowledge of material mechanics, structural mechanics, and biomechanicsExperience: 3-15 years (Minimum 3 years' relevant is mandatory)Statistical knowledge for data analysis,Experience using AI and machine learning,Japanese conversation abilityAmbitious and actively take on the challenge of improving your skills while valuing teamwork.Experience managing CAE engineers.Education requirements:B.Tech (Automobile / Mechanical / Electronics / Mechatronics) / M.Tech (Automobile / Mechanical / Electronics / Mechatronics)