Tasks
Research tasks:
Literature research on the state of the art in AI and lightweight construction
Interviews with specialist departments to gather requirements and process knowledge
Structuring and preprocessing of technical development data
Development of an AI-supported prototype for data linking
Evaluation of the approach based on defined criteria through a cost-benefit analysis
Derivation of strategic and operational recommendations
Requirements
Degree programs:
Degree in engineering, computer science/data science
Aerospace engineering
Industrial engineering with a technical focus
or a comparable degree program
Degree areas:
Automotive engineering, lightweight construction, machine learning/data analysis
Expert knowledge:
Interest in data-driven development processes
Basic understanding of technical product structures and development logic
Ideally, knowledge of complete vehicle development
IT skills:
Required: Python (e.g., Pandas, NumPy, PyTorch, Scikit-learn, etc.) Proficient in MS Excel and Office
Ideally: SQL, experience with data modeling
Language skills:
German
Good knowledge of English
Soft skills:
Strong analytical thinking skills
Independent and structured working style
Strong communication skills and ability to work in a team
Curiosity and openness to interdisciplinary collaboration
For more detail, salary and company information, use the apply link