Internship / Final Thesis Application of AI Methods in Vehicle Safety (f/m/d)

The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. You can expect a diverse team that supports you and with whom you can grow together and develop your potential.

Questions about this position can be answered by Brigitte Adam-Huth at brigitte.adam-huth@volkswagen.de

Environment

In the Vehicle Safety Test team, we are responsible for the entire scope of testing relating to active and passive safety. This includes the development of necessary test equipment, measuring tools, analysis methods, software tools, IT systems and databases. Due to the large amount of measurement data generated, it is necessary to be able to carry out analyses without human intervention. To this end, AI algorithms are trained and continuously updated with newly entered data in order to generate the most optimized and meaningful evaluations possible. The assignment is now possible with a duration of 6 months. This internship is to be completed full-time.

Possible Tasks within this Role

• Conduct literature research in the field of supervised learning (regression) and statistical modeling for time series prediction

• Identify and adapt the best methods for accurate predictions according to the project requirements

• Create and implement Python scripts for data processing, analysis, visualization, and adaptation of selected methods

• Conduct and evaluate experiments with the implemented methods and analyze the results, including strengths and weaknesses

Qualification requirements

• Students in the field of engineering, computer science or related fields

• Very good performances

• Working independently, solving problems, structured working style

•  Interest in passive vehicle safety and the application of AI methods in real-world scenarios

• German and English language level C1

• As well as strong programming skills in Python

• Initial experience with relevant machine learning frameworks such as PyTorch, TensorFlow, and Bitbucket/GIT is an advantage for version control

The following documents must be submitted with the application

• Curriculum vitae

• 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

At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.​

Responsibility – Sincerity – Courage – Diversity – Pride – Cohesion – Reliability