Master Thesis Battery Development (f/m/x)

THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.

SHARE YOUR PASSION.

We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. 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.

We, the BMW Group, offer you an interesting and varied Master thesis in the area of battery development with a focus on Machine Learning methodologies. We are a cross-disciplinary team of experts working on evaluating next-generation technology battery cells and subcomponents for automotive use.

What awaits you?

• In your new role you will work in an agile development team, utilizing agile and state-of-the-art methodologies.
• You will support in sketching concepts and ideas for battery aging analysis and state of health (SoH) estimation.
• Furthermore, you will design and evaluate your own solutions to analyze existing battery-relevant material and process data necessary for the desired prediction models.
• You will develop advanced machine learning models such as Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Convolutional LSTM (CNN-LSTM), and Physics-Informed Neural Networks (PINN).
• In addition, you will implement and test the developed algorithms to predict the battery end life based on practical cases.

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

What should you bring along?

• Master student in information technology, computer science, automotive engineering, mechanical engineering with a focus on IT, or related fields.
• Very good experience with big data, data analytics, machine/deep learning, or related fields and prior experiences in battery modeling.
• Deep experience in Python, PyTorch, Keras, TensorFlow, Scikit-Learn, etc.
• Knowledge in battery technology and battery development is advantageous.
• Business-fluent English.
• Very good analytical skills.
• You are self-motivated and like to work proactively.

You are enthused by new technologies and an innovative environment? Apply now!

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see bmw.jobs/benefits

Earliest starting date: from 03/10/2025

Duration: 6 months

Working hours: Full-time

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity