Thesis Autonomous Battery Manufacturing Optimization (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Munich seeks a thesis candidate for developing autonomous optimization systems in battery manufacturing. Candidates should have studies in computer science or a related field and experience with Python, data handling, and machine learning. The role involves supporting data processing and designing AI systems, offering opportunities for mobile work and student accommodation availability. Apply now to contribute to innovative automotive solutions.

Leistungen

Mobile work

Apartments for students (subject to availability)

Qualifikationen

• Experience with data handling using Python and libraries like Pandas and NumPy.
• Knowledge of machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow.
• Familiarity with SQL databases and data extraction.

Aufgaben

• Support extracting and processing data from various sources like SQL databases and Excel.
• Help to transform and featurize data for predictive modeling.
• Assist in designing an AI feedback loop for autonomous decision-making.

Kenntnisse

Python

Data handling with Pandas

Machine learning frameworks

SQL databases

Web technologies (React.js, Streamlit)

Ausbildung

Studies in computer science, data science, engineering, or a related field

Jobbeschreibung

Thesis Autonomous Battery Manufacturing Optimization (f/m/x)

SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Our team at the BMW Group is dedicated to advancing battery cell manufacturing through innovative digitalization and AI-driven solutions. During your thesis, you will gain valuable insights into the development of autonomous optimization systems for complex production processes.

What awaits you?

• You will support extracting and processing data from various sources such as SQL databases and Excel files.
• Furthermore, you help to transform and featurize data for predictive modeling and capture inter-stage interactions.
• In addition, you contribute to developing surrogate models and implementing active learning strategies for experiment selection.
• Moreover, you will assist in designing an agentic AI feedback loop using RAG systems for autonomous decision-making.
• You also help to create interactive dashboards for process monitoring and visualization using modern web technologies.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Studies in computer science, data science, engineering, or a related field.
• Experience with Python and data handling using Pandas and NumPy.
• Knowledge of machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow.
• Familiarity with SQL databases and data extraction.
• Interest in agentic AI, RAG systems, and automation concepts.
• Experience with web technologies such as React.js, Streamlit, or Plotly is a plus.
• Good English skills; German skills are an advantage.

Would you like to support the development of autonomous optimization systems for battery manufacturing? Then apply now!

What do we offer?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Do you have questions? Then submit your inquiry easily via our contact form . Your inquiry will be answered by phone or email afterwards.

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here .