Internship / Thesis Analysis of Time Series Data for Automotive Applications (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

 

Your 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. Modern data analytics methods can detect the changes of states throughout different vehicle parts as they occur during different driving maneuvers and over time as part of aging processes. We investigate the use of this time series data for a range of automotive applications such as predictive maintenance. Within these fields of innovation, we offer you the possibility to participate in the research and development of intelligent algorithms in an interdisciplinary team and to help shape the mobility of tomorrow.

Possible Tasks within this Role

• Development and implementation of concepts that enable efficient and real-time-capable processing of sensor data

• Use of methods ranging from rule-based evaluations to classic machine learning algorithms and the latest AI models

• Gain experience as a data scientist and at the same time work on highly relevant topics in the automotive industry

• If you are aiming for a thesis, the assignment and the research questions will be determined together with the professor after confirmation of supervision

Qualification requirements

• Students of computer science, engineering, mathematics or comparable disciplines 

• Very good to good academic performance

• Good programming skills in Python

• Practical experience in the field of Machine Learning (ML) 

• Practical experience in algorithm development and time series analysis is an advantage

The following documents must be submitted with your application

• Curriculum Vitae
• Current certificate of enrolment
• Current transcript of records
• In the case of a compulsory internship, a 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