Our team, focused on concepts for passive safety, frontal protection, and restraint systems, is dedicated to enhancing vehicle crashworthiness through computational methods and finite element simulations.
What awaits you?
- You will be part of a diverse team of engineers, developers, and students.
- You support the assessment of vehicle safety performance in crashes using large language models.
- You contribute to the continuation of infrastructure work, including GPU workstation connections.
- You assist in comparing different LLM models to select the most suitable one for productive use.
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).
Requirements
- Studies in Artificial Intelligence, Computational Mechanics, Computer Science, Mathematics, or a related field.
- Familiarity with state-of-the-art LLMs and prompting techniques is beneficial.
- Skills in artificial intelligence are advantageous.
- Experience with Python, MATLAB, or other programming languages.
- Strong teamwork and communication abilities.
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 Internship webpage.
