Master's thesis in the field of data science / machine learning in injection molding (m/f/d)

“We want wow your world!” This is our promise when it comes to work at Freudenberg. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse working environment in which everyone can develop individually. Let yourself be surprised and experience your own “Wow” moments. Together with partners, customers and science, we develop leading products, excellent solutions and services for around 40 market segments and for thousands of applications: seals, vibration components, battery and fuel cell, technical textiles, filters, cleaning technologies and products, specialty chemicals and medical products. The increasing digitization of production opens up new possibilities for data-based optimization of manufacturing processes. In particular in injection moulding, extensive process and machine data offer a high potential for the use of data science and machine learning methods. The aim of this master thesis is to develop and evaluate data-driven models for analysis, prediction and optimization of injection moulding processes.

You support our team as Master thesis in the field of Data Science / Machine Learning in injection moulding (w/m/d)

You analyze and prepare production and process data from injection moulding plants You identify relevant influencing variables on component quality, cycle time and reject You develop and implement machine learning models (e.g. regression, classification, anomaly recognition) You evaluate the models in terms of prediction quality and industrial applicability You visualize and interpret the results for technical users You guide action recommendations for process optimization You document your results and prepare the scientific preparation of your Master's thesis

You are immatriculated in a degree course in the field of data science, computer science, mechanical engineering, mechatronics, industrial engineering or a comparable degree course You have very good knowledge of statistics, data science and machine learning. You have experience with Python and common libraries (e.g. pandas, scikit-learn, PyTorch/TensorFlow) You are interested in production processes, ideally with knowledge in injection moulding or in manufacturing technology You have very good knowledge of German or English in word and writing You are ideally interested in a subsequent industrial promotion

Cafeteria/Kantine We offer fresh, warm and cold dishes on site. Travel cost subsidy for ÖPNV Pencile more environmentally conscious and cost-effective with a public transport grant. Good connection Achieve your workplace stress-free with public transport or car. Employee discount Benefit from discounted offers on products and services. Diversity & integration A diversity of experiences, views and people makes us more successful. .