Internship In The Area Of Research And Development Vehicle Safety (F/M/D)

Key Skills

Aartificial intelligence, Deep Learning, Effective communication skills, Jupyter Notebook, Keras software library, Machine learning techniques, NumPy, Python Programming, TensorFlow

Job Description

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 internship in the area of in the virtualization of passive safety, focusing on Python, AI, and FE Human Body Models

Our team “Virtualization in Passive Safety” is developing computational methods and executing finite element simulations to improve the crashworthiness of vehicles by optimizing structural and restraint system components. To support all these issues, we use so-called virtual Human-Body-Models (among other tools). In the scope of these HBMs we offer a challenging internship broaching three different application fields - once supporting in the application of Model-Order-Reduction methods on HBMs, second in the python-based automatization of pre- as well as post-processing methods, and third in the execution of finite-element (FE) simulations with HBMs.

What awaits you?

• You are working in a diverse team of developers as well as PhD candidates.
• Preparation and conduction of finite element simulations with various Human-Body-Models.
• Translation of python-scripts into a general-usable graphical user interface.
• Support in transferring so-far manual pre- and post-processing methods into automatized procedures, by using python or other coding languages.
• Implementation and enhancement of multiple approaches of Dimensional-Reduction-Methods (SVD, AutoEncoders, kernelPCA, etc.) in combination with multiple regression model techniques (Linear Regression, Kriging, Neural Networks) with regards to high-order Finite-Element-Simulations with Human-Body-Models.

What should you bring along? 

• Master student in Computational Mechanics, Mathematics, Computer Science, Mechanical Engineering or a comparable course of studies in the final year.
• Knowledge in mathematical statistics, structural mechanics (FE), deep learning/machine learning/artificial intelligence is a requirement.
• Experience in working with Python (keras, tensorflow, numpy, ..) or other programming languages is necessary. Skills in using Jupyter Notebook scripts is beneficial.
• Interest to work in the field of two current state-of-the-art research and industrial subjects: Human Body Model Simulations and AI/Model-Order-Reduction.
• Experience in working with LS-Dyna or any other FE-Solver is convenient.
• Teamwork and communication skills.
• Analytical and strategic thinking.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Work-Life-Balance & flexible working hours.
• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for employees (only Munich).
• And many other benefits - see jobs/benefits

You are enthused by new technologies and an innovative environment? Apply now!

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