PhD Multimodal AI and Graph Learning for Intelligent 3D Design Automation (f/m/x)

BMW Group; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive company in Munich is seeking a PhD candidate for a role focused on Multimodal AI and Graph Learning in 3D Design Automation. This position offers the opportunity to work on innovative projects at the forefront of product development, combining AI with 3D design. The ideal candidate will have a university degree in a relevant field, experience with AI Foundation Models, and strong project management skills. The program promotes career development and requires a commitment to high standards in research and collaboration.

Leistungen

Digital offers & mobile working

Apartment offers for students (subject to availability)

Qualifikationen

• Relevant technical skills and project experience in AI.
• Ability to work independently and in teams.
• Strong academic background.

Aufgaben

• Automate 3D product development processes using AI.
• Train AI models with graph neural networks.
• Implement automated workflows for data processing.

Kenntnisse

Artificial Intelligence

Graph Neural Networks

Computer Aided Design

Project management

Ausbildung

University degree in Informatics or similar

Jobbeschreibung

PhD Multimodal AI and Graph Learning for Intelligent 3D Design Automation (f/m/x)

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

PHD AT THE BMW GROUP.

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice‑related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.

We are at the forefront of BMW product development, combining engineering excellence with pioneering technologies. Our central technology team drives and enables cross‑divisional innovation projects, focusing on Digitalisation and Artificial Intelligence to transform the entire development process.

What awaits you?

• You automate processes in 3D product development by combining AI and 3D design to support context‑aware design automation.
• You train basic AI models by applying graph neural networks (GNNs) for single and multimodal models.
• You use knowledge from large language models (LLMs) to support 3D modelling tasks in the field of text‑to‑3D applications.
• You will develop small, efficient AI engineering models that perform automation tasks with high accuracy in multi‑agent systems.
• You will implement automated workflows to efficiently process large amounts of data for model training.

What should you bring along?

• University degree in Informatics, Artificial Intelligence or Computational Mechanics or similar.
• Professional experience in the field of AI Foundation Models, Graph Neural Networks (GNN) and Computer Aided Design (CAD).
• Strong academic background with relevant technical skills and project experience.
• Ability to work and organize projects independently and collaborate in an industrial environment.

Do you have excellent communication skills and the motivation to drive innovative solutions? Apply now!

Find out more about Artificial Intelligence at the BMW Group here .

Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.

What we offer?

• Digital offers & mobile working.
• Apartment offers for students (subject to availability & only Munich).

Do you have any questions? Then simply send your enquiry using ourcontact form . Your enquiry will then be answered by telephone or e‑mail.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.