Master Thesis Open-World 3D Anomaly Segmentation with Vision-Language Models (f/m/x)
Munich, BY, DE, 80809
BMW Group
Welcome to the BMW Group. Our focus on the premium idea and the principle of sustainability appeals to people worldwide.THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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 field of open-world 3D anomaly segmentation, focusing on leveraging contrastive vision-language models to understand and segment unknown objects in 3D environments. This project will utilize the Open World 3D dataset, which provides both 3D bounding boxes and 2D image data, enabling innovative multi-modal segmentation approaches.
What awaits you?
- Vision-language models for open-world perception.
- 3D segmentation using bounding box annotations.
- Pseudo-labeling techniques with segmentation models.
- Anomaly detection through contrastive feature representations.
- Develop novel methods to generate 3D semantic segmentation data from existing annotations.
- Evaluate open-vocabulary 2D segmentation as a foundation for 3D segmentation.
- Compare various feature representations, including BEV-based heatmaps, for improved segmentation.
This thesis will be supervised by a professor at Technical University of Munich (TUM). Please note that your thesis must be supervised by a university on your part.
What should you bring along?
- Students with a strong background in deep learning and computer vision.
- Ideally be enrolled at TUM.
- 3D scene understanding.
- Prior experience with vision-language models, multi-view projection or semantic segmentation is a plus but not mandatory.
If you are passionate about advancing open-world 3D anomaly segmentation and working with cutting-edge vision-language models, we look forward to your application!
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 19.05.2025
Duration: 6 months
Working hours: Fulltime
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Vision Deep Learning
Perks/benefits: Career development Flex hours
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.