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Scania Group seeks a motivated engineering student for a thesis project focused on analyzing operational vehicle data and deriving insights into the 24V battery system usage in commercial vehicles. You will combine theoretical analysis with practical data processing and visualization to understand energy consumption and power demand patterns.
The work involves MATLAB scripting, data classification, and creating a structured dataset to support predictive maintenance and future product
A thesis project at TRATON provides an excellent opportunity to gain practical experience, expand your professional network, and contribute to the development of future transportation solutions. Many of our current employees started their careers by completing their degree projects within the organization.
TRATON Group includes leading commercial vehicle brands such as Scania, MAN, Volkswagen Truck & Bus, and International. Together, we are driving the transformation towards sustainable transportation. As a thesis student, you will collaborate with experienced engineers and specialists, contribute to ongoing product development, and gain valuable insight into one of the world's leading commercial vehicle manufacturers.
For more information, visit www.traton.com.
The objective of this thesis is to analyze operational vehicle data and derive valuable insights into how the 24V battery system is used in commercial vehicles.
The study will focus on understanding energy consumption and power demand patterns in real-world vehicle operation. The findings will help establish a baseline for future product development and improve our understanding of battery usage, energy management, and potential misuse scenarios. The generated insights will also support the development of data-driven strategies and predictive maintenance models for the vehicle electrical system.
The thesis will combine theoretical analysis with practical data processing and visualization.
Your work will include:
We are looking for a curious, motivated, and analytical student with a strong interest in data analysis, electrical systems, and sustainable technologies. You enjoy solving complex problems, working with large datasets, and transforming data into valuable insights.
You should be able to work independently while also communicating effectively with stakeholders and supervisors throughout the project.
Students from various engineering disciplines and educational backgrounds are encouraged to apply.
January/February 2027
The exact start date and project timeline will be agreed upon between TRATON, the selected candidate, and the academic institution.
For questions regarding the thesis project, please contact:
We welcome applicants from all backgrounds and believe that diverse perspectives contribute to better solutions and stronger teams.
Please note that a background check may be conducted for this position. Interviews will be held continuously, and the recruitment process may be closed before the stated application deadline.
2026-10-19–2026-11-15