PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses

To strengthen our team in München we are looking for a/an PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses (f/m/x) Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world’s leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services. THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS. PHD AT THE BMW GROUP. Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice-related thesis, promote your chosen specialty from within - and position yourself to secure the career you’ve always wanted. As a PhD student in our team at the BMW Group, you contribute to AI-based crash video evaluation using vision-language models. You support the development of innovative AI models and data-driven methods that help improve the accuracy and efficiency of crashworthiness assessments in automotive safety engineering. What awaits you? You support the development of AI models for vehicle crash behavior using modern geometric AI architectures. Together with the team, you help integrate machine learning and data analytics approaches with physics-based simulations to improve prediction accuracy. You also contribute to the development of automated workflows and optimization methods for crash simulations. Within the project, you support research on AI models for CAx (CAD, CAE, etc.) applications in the crash design process for cars. What should you bring along? Master’s degree in Engineering, Computer Science, Mathematics, or a related field. Extensive knowledge of computer vision and multimodal / vision-language models, e.g. transformers or CLIP-type architectures. Experience with data preprocessing, annotation workflows, and large multimodal datasets, including images, videos, and point clouds. A track record of research contributions, such as publications or conference talks, is a plus. Business-fluent English; German language skills are a plus. Are you motivated and keen to help us shape the mobility of tomorrow? Apply now! Find out more about Artificial Intelligence at the BMW Group here. Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program. If you make it to the next round, you will receive an invitation to a video interview by e-mail. Please also check your spam folder regularly. What do we offer? Comprehensive mentoring & onboarding. Personal & professional development. Flexible working hours. Digital offers & mobile working. Attractive & fair remuneration. Annual special payments such as vacation pay and Christmas bonus. Apartment offers for students (subject to availability & only Munich). And many other benefits - see bmw.jobs/benefits Start date: From now on Duration: 36 months Working hours: Part-time Job ID: 195225 BMW Group Recruiting Munich APPLY NOW Are you looking for an exciting challenge? Then join our team. You can find detailed information about us at bmwgroup.jobs/careers More Insights also on Instagram and Facebook @bmwgroupcareers

BMW Group, you contribute to AI-based crash video evaluation using vision-language models. You support the development of innovative AI models and data-driven methods that help improve the accuracy and efficiency of crashworthiness assessments in automotive safety engineering. What awaits you? You support the development of AI models for vehicle crash behavior using modern geometric AI architectures. Together with the team, you help integrate machine learning and data analytics approaches with physics-based simulations to improve prediction accuracy. You also contribute to the development of automated workflows and optimization methods for crash simulations. Within the project, you support research on AI models for CAx (CAD, CAE, etc.) applications in the crash design process for cars. What should you bring along? Master’s degree in Engineering, Computer Science, Mathematics, or a related field. Extensive knowledge of computer vision and multimodal / vision-language models, e.g. transformers or CLIP-type architectures. Experience with data preprocessing, annotation workflows, and large multimodal datasets, including images, videos, and point clouds. A track record of research contributions, such as publications or conference talks, is a plus. Business-fluent English; German language skills are a plus. Are you motivated and keen to help us shape the mobility of tomorrow? Apply now! Find out more about Artificial Intelligence at the BMW Group here. Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program. If you make it to the next round, you will receive an invitation to a video interview by e-mail. Please also check your spam folder regularly. What do we offer? Comprehensive mentoring & onboarding. Personal & professional development. aa

degree working hours. Digital offers & mobile working. Attractive & fair remuneration. Annual special payments such as vacation pay and Christmas bonus. Apartment offers for students (subject to availability & only Munich). And many other benefits - see bmw.jobs/benefits Start date: From now on Duration: 36 months Working hours: Part-time Job ID: 195225 BMW Group Recruiting Munich APPLY NOW Are you looking for an exciting challenge? Then join our team. You can find detailed information about us at bmwgroup.jobs/careers More Insights also on Instagram and Facebook @bmwgroupcareers