Simulation Engineer Intern: Crash Modeling & AI Pipelines

Liablix; Bologna; In loco; EUR 7800 - 10.000; Tempo pieno

Vantaggi offerti da questo lavoro

Mentorship

Hands-on experience

Internship stipend €800/month

Hybrid or remote setup

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Mechanics

Vehicle dynamics

Python

Analytical mindset

Formazione

Mechanical/Automation/Aerospace Engineering degree

Strumenti

LS-Dyna

MATLAB/Simulink

CAD/Multibody/FEA tools

Descrizione del lavoro

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.