Environment

As part of Volkswagen Group Innovation, our team focuses on tasks in the field of AI & data analysis for the development of digital services for various brands of the Volkswagen Group. This includes topics such as the processing and analysis of vehicle data as well as the integration of artificial intelligence (AI) into digitized vehicles. Modern data analysis methods can detect changes in various vehicle parts that occur during different driving maneuvers and over time as part of aging processes. We will develop a predictive system to anticipate potential edge-case scenarios, preparing the autonomous vehicle stack for emergency situations. In these areas of innovation, we offer you the opportunity to participate in the research and development of intelligent algorithms within an interdisciplinary team and to help shape the mobility of tomorrow. If you are aiming for a thesis, the tasks and research questions will be determined together with the professor upon confirmation of supervision. A preceding internship would be desirable before starting the thesis

Possible tasks within this role

• Development and implementation of concepts as part of your internship or thesis

• Development of methods for scene understanding and the prediction of future scenarios in autonomous driving

• Gaining experience as an AI researcher while working on highly relevant topics in the automotive industry

Qualification requirements

• Students of the Departments computer science, engineering, mathematics, or related fields

• Very good to good academic performance

• Good programming skills in PyTorch/TensorFlow and Python

• Practical experience in the field of Machine Learning (ML) and Computer Vision (CV)

• Practical experience in algorithm development

• Experience in time series analysis is an advantage

• Ability to work independently and responsibly on a scientific topic

• German and/or English Level B2

The following documents must be submitted with the application

• Curriculum Vitae

• Current certificate of enrolment

• Current transcript of records

• In case of a compulsory internship, a certificate from the university

• Work permit for non-EU citizens