In this internship, you will help to build AI-based tools for computational fluid dynamics and support the application of machine learning in simulation-driven design.
What awaits you?
- You will support exploring and evaluating machine learning methods for simulating physical processes in the virtual vehicle development pipeline.
- Furthermore, you help to train models that predict physical quantities from vehicle geometry data.
- In addition, you contribute to benchmarking model architectures and investigating generalization strategies.
- Moreover, you will assist in presenting findings through internal reports and contribute to potential scientific publications.
- You will also help to collaborate with internal development and IT departments as well as external partners.
Table of Content
Summary
- Application DeadlineNot Specified
- Study LevelInternship
- SponsorBMW Group
- Eligible CountryAll Countries
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Benefits
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/whatweoffer
Start date: 02/02/2026
Requirements
- Studies in computer science, mechanical or aeronautical engineering, physics, mathematics or a related field.
- Solid understanding of machine learning principles and frameworks.
- Knowledge of aerodynamics, simulation methods and scientific computing.
- Proficient in Python or C++ and experience with collaborative tools like GitHub.
- Effective communication skills in English German is a plus.
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
BMW Group on career5.successfactors.eu to apply
For more information, kindly visit BMW Group internship webpage.
