Masterand: Optimisation and Enhancement of a Prototypical Tool for Early Detection of Lightweight Potentials through AI-supported Analysis of Vehicle Data in Overall Vehicle Development

You will work on optimising and enhancing a prototypical tool for early detection of lightweight potentials through AI-supported analysis of vehicle data in overall vehicle development.

The goal of this work is to improve and extend an existing AI-supported approach to support early vehicle design.

Key tasks:

• Conduct literature research on AI-supported lightweight potential identification and data analysis
• Analyse and evaluate an existing prototypical AI tool
• Gather requirements from relevant departments
• Expand the data basis and integrate additional vehicle parameters
• Further develop AI and prediction models to improve forecast quality
• Design and implement automated data interfaces
• Develop additional visualisation and evaluation functions
• Validate and evaluate the extended approach using real-world application cases
• Derive recommendations for further industrialisation of the tool

Requirements:

• Studying engineering sciences, computer science/data science, aerospace engineering, industrial engineering with a technical focus, or similar fields
• Relevant study focus: vehicle technology, lightweight construction, machine learning/data analysis, technical visualisation
• Familiarity with data-driven development processes
• Basic understanding of technical product structures and development logic
• Ideally, knowledge of overall vehicle development
• Required IT skills: Python (e.g., Pandas, NumPy, PyTorch, Scikit-learn), proficient use of MS Excel and Office
• Ideal IT skills: SQL, experience with data modelling
• Language skills: German and good English

Benefits:

• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and reward for outstanding performance

Start date: October 2026