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 effect of difficult and adverse driving scenarios as part of testing processes. Within these fields of innovation, we offer you the possibility to participate in the research and development of intelligent algorithms in an interdisciplinary and to 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.
Possible Tasks within this Role
- Development and implementation of concepts to systematically generate traffic scenarios with anomalies or adverse conditions
- Research and analysis of current literature on the generation of anomalous data
- Practical investigations of data-driven deep learning methods for scenario generation for a selected use case
- Evaluation of the quality of the generated data according to self-developed or predefined criteria
- Documentation and presentation of the results
Table of Content
Summary
Requirements
- Master’s student in Computer Science, Robotics, Data Science, Mathematics, Physics, Engineering Sciences or a related qualification
- Very good to good academic achievements
- Strong analytical and conceptual skills, familiarity with scientific methods
- Ability to work independently and in multidisciplinary teams, highly motivated
- Good knowledge of an object-oriented programming language, preferably Python, and of deep learning methods
- Profound experience with deep learning libraries like PyTorch in the context of research projects
- Ideally practical experience in the area of driver’s assistance systems or automated driving
- Fluent in English (at least language level B2)
Application Documents
- 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
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Volkswagen AG on career5.successfactors.eu to apply
For more information, kindly visit Volkswagen scholarship webpage.
