Job Description

Work Environment

As part of Volkswagen Group Innovation, our team deals with AI & Data Analytics tasks in the development of digital services for different Volkswagen Group brands. This includes topics such as processing and analyzing vehicle data as well as integrating artificial intelligence (AI) into digitized vehicles. State-of-the-art AI methods address perception and scene understanding problems in automated driving. We investigate the applicability of vision-language models for complex driving scenarios. Within these fields of innovation, we offer you the possibility to participate in the research and development and evaluation of intelligent algorithms in an interdisciplinary team and help shape the mobility of tomorrow. During your internship (at least 6 months) or thesis work, you will have the chance to tackle a complex issue in the exciting field of generative AI and automated driving. If you are pursuing a master’s thesis, the task and research questions will be determined together with your professor upon confirmation of supervision. We look forward to receiving your application.

Possible tasks within this Role

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  Development and implementation of concepts to systematically select complex traffic scenarios based on adverse conditions in existing data
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  Research and analysis of current literature on the selection and curation of data from a data pool
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  Practical investigations of data-driven deep learning methods for scenario selection
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  Evaluation of the quality of the selected data according to self-developed or predefined criteria
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  Documentation and presentation of the results

Qualification requirements

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  Master’s student in Computer Science, Robotics, Data Science, Mathematics, Physics, Engineering Sciences or a related qualification
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  Very good to good academic achievements
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  Strong methodical and conceptual skills, familiarity with scientific methods
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  Good knowledge of an object-oriented programming language, preferably Python, and of deep learning methods
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  Profound experience with deep learning libraries like PyTorch in the context of research projects
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  Fluent in English (at least language level B2)

The following documents must be submitted with the application

• Cover letter and CV
• Current certificate of enrolment
• Current transcript of records
• In the case of a compulsory internship, an additional certificate from the university
• Work permit for non-EU citizens

Keywords

Generative AI, Machine Learning, Autonomous Driving, Automated Driving, Anomalies, Deep Learning, Scene Understanding

Contact person for this posting: Hartmut Fromm