Intern assisting in the development of AI tools for validating crash simulations at BMW Group. Collaborating in creating methods for airbag deployment analysis and machine learning.
Responsibilities
You will support the development of AI-assisted tools for the validation of frontal restraint simulations.
You will also contribute to the design and implementation of a method for airbag deployment analysis from crash videos using AI.
Furthermore, you will assist in the development, training, and evaluation of machine learning and computer vision models.
You will support the integration of in-house algorithms into existing validation workflows and tools.
You will contribute to the analysis and visualization of results and to deriving evaluation metrics in a coordinated manner.
You will develop ideas for new AI evaluation methods and tools and implement them as prototypes, receiving regular feedback from your point of contact.
Requirements
Currently enrolled in a degree program in Computer Science, Data Science, Computational Engineering, Mechanical Engineering, Physics, or a comparable field.
Strong programming skills, particularly in Python.
Solid knowledge of machine learning and computer vision.
Basic knowledge of finite element methods and explicit crash simulations (e.g., LS-DYNA) is an advantage.
Team and communication skills as well as a structured working approach.
Confident English and good German skills, both written and spoken.
Benefits
Comprehensive mentoring and onboarding.
Personal and professional development opportunities.
Flexible working hours.
Remote work.
Attractive and fair compensation.
Student apartments (subject to availability & only at the Munich location).
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