Master Thesis Reasoning-Enhanced Autonomous Driving Models (f/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Munich is offering a Master’s thesis focused on reasoning-enhanced autonomous driving models. This opportunity allows you to contribute to advanced research in AI, collaborate with international teams, and develop innovative solutions in a dynamic environment. Ideal candidates will have studies in computer science and strong programming skills in Python. The role offers mobile work and student housing subject to availability.

Leistungen

Mobile work

Apartments for students

Qualifikationen

• Strong knowledge in machine learning or artificial intelligence.
• Curiosity and motivation to share ideas in a team.

Aufgaben

• Support research on autonomous driving models.
• Contribute to the implementation of novel AI architectures.
• Assist in presenting thesis results using the scientific method.

Kenntnisse

Strong knowledge in reasoning models

Excellent programming skills in Python

Familiarity with PyTorch

Curiosity and motivation to solve problems

Ausbildung

Studies in computer science or related fields

Tools

Docker

Git

Jobbeschreibung

Master Thesis Reasoning-Enhanced Autonomous Driving Models (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.

We, the BMW Group, offer you an interesting and varied Master’s thesis in the field of autonomous driving. Our team is driving forward research in this area by developing innovative AI models and fostering close collaboration among doctoral candidates and students. At the Autonomous Driving Campus in Unterschleißheim, you will be part of a dynamic research community and contribute to cutting-edge advancements in autonomous mobility.

What awaits you?

• You will support research on state-of-the-art autonomous driving models and help to test and improve beyond them.
• Furthermore, you will gain practical AI experience by contributing to the implementation of novel architectures or training paradigms in our research team.
• In addition, you will utilize our advanced training infrastructure to conduct experiments and efficiently evaluate your approaches.
• Moreover, you will assist in presenting thesis results using the scientific method, both in written and oral formats.
• You will collaborate with an experienced team that has published at international peer-reviewed conferences.
• Furthermore, you will engage with an international and diverse team of doctoral candidates and students at the Autonomous Driving Campus in Unterschleißheim.

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

What should you bring along?

• Studies in computer science or related fields with focus on machine learning or artificial intelligence.
• Strong knowledge in reasoning models, vision language models, and state-of-the-art architectures.
• Excellent programming skills in Python and PyTorch; familiarity with Docker and Git is a plus.
• Curiosity and motivation to solve problems and share ideas in a team.

Would you like to support our team in advancing autonomous driving research with innovative AI models? 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.