Car Structure Parameter Identification for CAE Barrier Model Development
Göteborg, SE, 417 15
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Master thesis
Car Structure Parameter Identification for CAE Barrier Model Development
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Background
Euro NCAP is expanding its safety assessment protocols to include crash compatibility between heavy goods vehicles (HGVs) and passenger cars to reduce injury risk in collisions. To support this effort, new frontal impact test methods are being developed that require a detailed understanding of passenger car front-end crash behavior.
This thesis contributes to ongoing research by identifying and standardizing the key structural parameters defining passenger vehicle crash response. Components such as bumper beams, crash boxes, longitudinal members, and crumple zones will be systematically analyzed to describe how passenger car front ends deform and absorb energy during collisions. The work will be conducted in collaboration with Volvo Group and Chalmers University of Technology, contributing to Volvo’s long-term vision of zero accidents.
What You Will Do
As part of this project, you will:
Identify and categorize generic structural parameters of passenger cars across different segments (micro, hatchback, sedan, SUV).
Build a database of stiffness-relevant parameters, including front-end geometry, crush zones, load paths, and material composition.
Analyze variations in structural stiffness across car segments and over time using available data sources.
Map these findings into a CAE environment to explore stiffness patterns and crash compatibility.
Develop a concept for a surrogate car model that can replicate the average structural response of modern passenger cars.
Who You Are
We are looking for two motivated master’s students who want to combine data-driven analysis, CAE modeling, and vehicle safety research to make a real impact.
You are likely to have:
- A master’s level background in Vehicle Engineering, Mechanical Engineering, Applied Mechanics, Automotive Safety, or similar fields.
- Knowledge of vehicle crash structures and impact energy absorption principles.
- Experience with CAE tools (e.g., LS-DYNA) and data analysis tools (MATLAB, Python).
- A structured, analytical mindset with a passion for vehicle safety and engineering standardization.
- An interest in working collaboratively within a research and development environment.
Location: Göteborg
Position Type: Student
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Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.