Simulation Engineer Intern: Crash Modeling & AI Pipelines

Liablix; Bologna; Sur place; EUR 7 800 - 10 000; Plein temps

Avantages offerts par ce poste

Mentorship

Hands-on experience

Internship stipend €800/month

Hybrid or remote setup

Résumé du poste

Liablix is seeking a Simulation Engineer Intern to join our startup team in Bologna or Florence, Italy. This on-site internship offers hands-on experience developing and validating vehicle collision simulations and integrating results with our AI-based reconstruction system.

You will work with mechanical engineering and software peers, learning CAD/Multibody/FEA tools, scripting in Python or MATLAB, and contributing to data automation and reporting pipelines.

Qualifications

• Master’s or Bachelor’s degree in Mechanical Engineering, Automation Engineering, Aerospace Engineering, or related fields.
• Strong understanding of mechanics, vehicle dynamics, and impact energy dissipation.
• Familiarity with CAD, or any Multibody/FEA tools (e.g., LS-Dyna, MATLAB/Simulink, Adams, or similar).
• Basic programming skills (Python, MATLAB, or C++) are a plus.

Responsabilités

• Accident Simulation: Develop and test vehicle collision simulations using physics-based engines.
• Model Validation: Compare simulation results with real-world crash data to validate accuracy and refine model parameters.
• Automation & Tools: Help automate data preparation, simulation workflows, and reporting pipelines.
• Cross-Functional Collaboration: Work alongside AI and software engineers to connect simulation outputs with our AI-based reconstruction system.

Connaissances

Mechanics

Vehicle dynamics

Python

Analytical mindset

Formation

Mechanical/Automation/Aerospace Engineering degree

Outils

LS-Dyna

MATLAB/Simulink

CAD/Multibody/FEA tools

Description du poste

Liablix is seeking a Simulation Engineer Intern to join our startup team in Bologna or Florence, Italy. This on-site internship offers hands-on experience developing and validating vehicle collision simulations and integrating results with our AI-based reconstruction system.

You will work with mechanical engineering and software peers, learning CAD/Multibody/FEA tools, scripting in Python or MATLAB, and contributing to data automation and reporting pipelines.