Unlock your full potential as a PhD candidate in Physics-informed Machine Learning and contribute to the development of innovative vehicle models.
About the Role
This exciting opportunity is part of our research program focused on advancing the field of physics-informed machine learning. You will have the chance to work on a cutting-edge project that combines physical knowledge with data-driven models, enabling faster, scalable, and cost-effective product development.
Key Responsibilities
* Develop a PhD project focusing on physics-informed machine learning in the context of vehicle models
* Tackle key challenges in this area, collaborating closely with our pre-development and series development teams
* Review and analyze the state-of-the-art in physics-informed machine learning
* Embed physical knowledge in data-driven models or vice versa, leveraging the interpretability and generalization behavior of physics-based models, as well as the ability of machine learning to model complex data relationships
* Implement prototypes of developed algorithms and validate them experimentally in real-world experiments
Requirements
* Masters degree in a relevant field (Robotics, Electrical Engineering, Mechanical Engineering, etc.)
* Expertise in machine learning, including programming skills in Python and/or C and experience with machine learning frameworks like PyTorch and TensorFlow
* Hands-on experience through real-world projects, such as student projects, internships, or prior work experience
* High level of commitment, initiative, and teamwork
* Good communication skills and fluency in English (German is a plus)
Benefits
* 3-year duration
* Opportunity to work with top-ranked universities
* Possibility to supervise students
* Flexible remote work options
* Temporary work from abroad in selected countries
* 30 days paid leave
* Special events and trainings
We Value Diversity
We believe that our differences make us stronger and actively seek to build diverse teams. Our goal is to create an inclusive environment where everyone feels valued and empowered to contribute.