Master Thesis Unsupervised Sensor Fusion
vor 3 Monaten
**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.
- 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.
- And many other benefits - see **bmw.jobs/benefits**
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
Master Thesis Unsupervised Sensor Fusion Pre-Training for Planning in Autonomous Driving (f/m/x)
20240930
Automotive
- München
- Deutschland
Unternehmensbereich:
- BMW AG
Standort:
München
Arbeitsbereich:
Neue Technologien
Job ID:
140444
Veröffentlichungsdatum:
30.09.2024
Praktikum/Abschlussarbeit
FullTime
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