PhD Candidate for Physics-informed Machine Learning in the context of Vehicle Models(m/w/x)

# PhD Candidate for Physics-informed Machine Learning in the context of Vehicle Models (f/m/d) Job ID: 15131 Company: CARIAD SE Location: Mönsheim, DE, 71297 Department: Apprenticeship & Study Career Level: PhD students Working Model: Full-time Contract Type: Fixed-term Remote Working: By agreement Posting Date: Jun 10, 2025 ## YOUR TEAM The aim of our PhD Program is to promote innovative topics that are relevant to CARIAD. We cooperate with top universities and bring new research projects to life. Our PhD candidates get the opportunity to create new innovations in their projects for CARIAD and the respective scientific field. All PhD projects are accompanied by a supervisor professor and a dedicated CARIAD mentor. Essential trainings for the PhD candidates complete the PhD Program. For the department Vehicle, Energy, Motion & Body (VEMB) we are looking for a PhD candidate 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 * PhD project with the working title: Physics-informed Machine Learning in the context of Vehicle Models * Tackle key challenges in physics-informed machine learning with the focus on VEMB functions * Review of the state-of-the-art in the subject area * Embed physical knowledge in data-driven models, or vice versa, to take advantage of the physics-based model's interpretability and good generalization behavior, 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 * Collaborate with teams in pre-development and series development ## WHO YOU ARE * Master's degree in in a relevant field: Robotics, Electrical Engineering, Mechanical Engineering, etc * Expertise in machine learning * Very good programming skills in Python and/or C and experience 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 * High level of commitment, initiative, and teamwork * Good communication skills * Fluent in English, German is a plus ## NICE TO KNOW * Duration: 3 years * Working with high-ranked University * Possibility to supervise students * Remote work options * Temporary work from abroad in selected countries * 30 days paid leave * Special Events e.g. PhD-Day (Doktorandentag), Trainings