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Master Thesis Unsupervised Sensor Fusion Pre-Training for Planning in Autonomous Driving (f/m/x)

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Stellenbeschreibung

Abschlussarbeit
Homeoffice: Nach Absprache

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's thesis within the area of autonomous driving sensor fusion.In autonomous driving, state-of-the-art deep neural networks performing sensor fusion are trained as backbones for complex tasks (e.g., perception, prediction, planning). While end-to-end training on those tasks allows for specialization of those backbones, it also is restricted to labeled data. A self-supervised pre-training (e.g., sensor reconstruction / prediction) allows for using larger amounts of data and might lead to a better generalization that can be fine-tuned to the specific planning tasks with supervised training.

What awaits you?

  • Close collaboration in a team within the BMW research department.     
  • Explore different sensor fusion approaches for autonomous driving applications.
  • Evaluating approaches of world model (unsupervised) pre-trained sensor fusion for fine-tuned (supervised) perception tasks in autonomous driving. 
  • You are working on state-of-the-art techniques and develop novel approaches on a cluster infrastructure.  

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

What should you bring along? 

  • Knowledge in machine learning.   
  • Knowledge in computer vision.   
  • Proficiency with Python and deep learning frameworks (PyTorch or TensorFlow).   
  • Good English skills.  

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

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

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

Earliest starting date: from 01/01/2025

Duration: 6 months

Working hours: Full-time

Contact:
BMW Group HR Team
+49 89 382-17001

  Anstellungsart
Abschlussarbeit
  Homeoffice
Nach Absprache

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