Master Thesis Open-World 3D Anomaly Segmentation with Vision-Language Models (f / m / x)

BMW Group; München; Vor Ort; EUR 30.000 - 50.000; Vollzeit

Zusammenfassung

An established industry player is offering an exciting opportunity for students to engage in a Master thesis focused on open-world 3D anomaly segmentation. This innovative project involves leveraging advanced vision-language models to analyze and segment unknown objects in 3D environments. Candidates will gain hands-on experience in cutting-edge technologies while contributing to significant research in the field. With comprehensive mentoring, flexible working hours, and attractive remuneration, this role promises a rewarding experience for aspiring professionals passionate about deep learning and computer vision. Join a dynamic team and make a meaningful impact in the world of 3D segmentation!

Leistungen

Comprehensive mentoring & onboarding

Personal & professional development

Flexible working hours

Digital offers & mobile working

Attractive remuneration

Apartment offers for students

Qualifikationen

• Strong background in deep learning and computer vision required.
• Prior experience with vision-language models is a plus.

Aufgaben

• Conduct research on open-world 3D anomaly segmentation.
• Develop methods for 3D semantic segmentation data generation.

Kenntnisse

Deep Learning

Computer Vision

3D Scene Understanding

Vision-Language Models

Semantic Segmentation

Ausbildung

Master's Degree

Enrollment at Technical University of Munich (TUM)

Jobbeschreibung

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