Master's Thesis in the Field of Data Science / Machine Learning in Injection Molding
Freudenberg & Co. KG
Freudenberg, Germany
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, GermanJob location
Freudenberg, Germany
Tech stack
Python
Machine Learning
TensorFlow
Data Processing
PyTorch
Pandas
Scikit Learn
Information Technology
Job description
- 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
Requirements
- 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