2026 Master Thesis in Transformer-based High-Level Fusion Automated Driving at BMW Group Germany

The BMW Group offer you an interesting and varied Master thesis in the field of automated driving and sensor fusion. Our team researches and develops cutting-edge perception and fusion strategies to advance autonomous driving technologies. As part of your thesis, you will support us in exploring robust and efficient solutions for real-world deployment of multi-sensor fusion using state-of-the-art machine learning methods.

What awaits you?

• You will conduct an in-depth literature review on Transformer architectures, multi-modal fusion, and robust perception for automated driving.
• Furthermore, you support experimental evaluation of high-level fusion approaches using public and BMW multimodal datasets.
• In addition, you help select and develop suitable Transformer-based fusion models for multi-sensor inputs.
• Moreover, you will explore efficiency strategies to enable low-latency deployment on in-vehicle hardware.
• You will assist in evaluating accuracy and robustness in simulated and real-world driving scenarios.
• Collaboration with an experienced team of software developers and ML engineers at the Autonomous Driving Campus in Unterschleißheim is part of your tasks.
• Please note: You must ensure that the thesis is supervised by a university.

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

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineNot Specified
• Study LevelInternship
• SponsorBMW Group
• Eligible CountryAll Countries

Benefits

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/waswirbieten

Start date: 04/01/2026

Requirements

• Studies in computer science, electrical engineering, robotics or a related field with focus on machine learning, deep learning or artificial intelligence.
• Strong understanding of Transformer-based models and attention mechanisms.
• Experience with sensor fusion concepts is a plus.
• Proficient programming skills in Python, PyTorch and C++; experience with modern development tools.
• Ability to support independently and as part of a team; proactive in sharing ideas and iterating on solutions.
• Willingness to collaborate with university supervisors and adapt to project requirements.
• Good English skills; German is a plus.

Application Deadline

Not Specified

How To Apply

Are you qualified and interested in this opportunity? Kindly go to BMW Group on career5.successfactors.eu to apply

For more information, kindly visit BMW scholarship webpage.