Student (m/f/d) - Vehicle Dynamics Simulation for Off-Road Applications

We are seeking a motivated student to support the development of vehicle dynamics simulation models for off-road and all-terrain applications.

You will help parameterize and validate virtual vehicle models, correlate simulations with real-world test data, and leverage modern tools and AI-assisted methods to drive engineering insights.

Responsibilities:

• Support the development and maintenance of virtual vehicle models for off-road and all-terrain applications
• Assist in setting up and parameterizing full-vehicle models for off-road behavior (traction on deformable soil, ride over rough terrain)
• Help parameterize and validate tire and soft-soil models for off-road conditions
• Prepare and execute virtual test maneuvers representative of off-road driving scenarios
• Correlate simulation results with physical test data and support model validation and calibration activities
• Post-process, analyze, and visualize simulation results to derive first engineering insights
• Support model setup and integration for Driver-in-the-Loop (DiL) and Hardware-in-the-Loop (HiL) environments
• Build and maintain automation scripts and tool chains for model setup, correlation, and data analysis
• Document methods, test procedures, and results
• Support the preparation of internal reports
• Leverage AI-based methods and tools for efficient development, post-processing, and documentation

Requirements:

• Enrolled student (Bachelor or Master) in Mechanical Engineering, Automotive Engineering, Mechatronics, or a related field
• Hands-on, curious mindset with a structured and reliable working style
• Basic knowledge of vehicle dynamics fundamentals
• Interest in off-road / all-terrain vehicle behavior (traction, mobility on deformable soil, ride over rough terrain)
• First exposure to vehicle dynamics simulation tools (e.g., AVL VSM, CarMaker, Adams Car, VI-Grade) is an advantage
• Interest in tire modeling and terramechanics/soft-soil modeling concepts
• Proficiency in data analysis and scripting (e.g., MATLAB/Simulink, Python)
• Interest in using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, or similar)
• Understanding of model correlation and validation against test data is a plus
• Interest in Driver-in-the-Loop (DiL) and Hardware-in-the-Loop (HiL) simulation environments and real-time model requirements
• Good command of English, both written and spoken
• Team player with good communication skills in a cross-functional, international environment

Benefits:

• Competitive compensation
• Flexible working hours
• Comfortable offices (no open space)
• Hybrid work option
• Contribution to projects of high technical complexity & business value
• International work environment
• Well-organized work at a steady, sustainable pace