Working at Freudenberg: We will wow your world!
Responsibilities:
• You will analyze and prepare production and process data from injection molding systems
• You will identify relevant influencing factors affecting part quality, cycle time, and scrap rates
• You will develop and implement machine learning models (e.g., regression, classification, anomaly detection)
• You will evaluate the models in terms of predictive performance and industrial applicability
• You will visualize and interpret the results for technical stakeholders
• You will derive actionable recommendations for process optimization
• You will document your results and prepare the scientific thesis
Qualifications:
• You are currently enrolled in a degree program in Data Science, Computer Science, Mechanical Engineering, Mechatronics, Industrial Engineering, or a comparable field.
• You have strong knowledge of statistics, data science, and machine learning
• You have experience with Python and common libraries (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
• You have an interest in production processes, ideally with knowledge of injection molding or manufacturing technologies
• You have very good German or English language skills, both written and spoken
• You ideally have an interest in pursuing an industrial PhD following your thesis