YOUR TEAM

For the department Vehicle, Energy, Motion & Body (VEMB) we are looking for a student (intern or master thesis) for the project “Learning Intelligent Onboard Functions”. Our department develops advanced software for vehicle energy, motion, and body systems. Our VEMB pre-development team works on methods for end-to-end learning of VEMB functions to enable faster, scalable and more cost-effective product development. We cover the entire development range—from initial concepts to proof of concepts in test vehicles in close cooperation with the series development departments.

WHAT YOU WILL DO

• Work together with a PhD student in tackling the key challenges in Reinforcement Learning with the focus on VEMB functions
• Help reviewing the state-of-the-art in the subject area
• Leverage real world measurement data in the Reinforcement Learning training process
• Assist in deploying and validating developed methods and controllers in real world experiments
• Collaborate with teams in pre-development and series development 

WHO YOU ARE

• Enrolled student in the a relevant field: Robotics, Electrical Engineering, Mechanical Engineering, etc.
• Knowledge in control design and/or machine learning, e.g Reinforcement Learning or Physics Informed Machine Learning
• Experience with in Python and with machine learning frameworks such as PyTorch, TensorFlow, etc.
• Hands-on experience through real-world projects, such as student projects, internships, or prior work experience
• Strong analytical and problem-solving skills
• High level of commitment, initiative, and teamwork
• Fluency in English and German and good communication skills

NICE TO KNOW