Brief Role Description
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
Qualification 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
* Ideally experience with deep learning libraries like PyTorch
* Ideally practical experience in the area of driver's assistance systems or automated driving
* Fluent in English (at least language level B2)
Kurzbeschreibung
* Anschreiben und Lebenslauf
* Aktuelle Immatrikulationsbescheinigung
* Aktueller Notenspiegel
* Bei einem Pflichtpraktikum zusätzlich eine Bescheinigung der Hochschule
* Arbeitserlaubnis für Nicht-EU Bürgerinnen / Bürger
Keywords
Generative AI, Machine Learning, Autonomous Driving, Automated Driving, Anomalies, Deep Learning, Scene Understanding
What we offer
* 30 vacation days and off
* 35-hour week
* Company pension
* Flexible working hours
* Mobile working
* Training and consulting offers
* Special conditions for the purchase and leasing of vehicles
* Bicycle leasing
* Sabbatical program
Depending on qualifications and professional experience, the annual gross salary for this position for a 35-hour week can range from [min. annual gross salary of the corresponding TB in EUR] to [max. annual gross salary of the corresponding TB in EUR; usually ES 20]. If particularly suitable, a gross annual salary of up to [Max. Annual gross salary of the corresponding TB in the Plus pay scale in EUR; usually ES 25] is possible.
Contact person for this posting: Team Volkswagen AG Studierende & Doktoranden
Job ID: 17279
Company: Volkswagen AG
Location:
Wolfsburg, DE, 38436
Department: Research and Development
Career Level: Interns
Working Model: Full-time
Contract Type: Fixed-term
Remote Working: Up to 40%
Posting Date: Sep 2, 2025