at Volkswagen Group
InternIn the Vehicle Safety Test Technology team, we are responsible for the entire scope of active and passive safety testing. This also includes the further development of the test facilities, measuring equipment, analysis methods, software tools, IT systems, and databases required for this purpose. Due to the large amount of measurement data generated, it is necessary to be able to carry out analyses without human intervention. For this purpose, AI algorithms are trained and constantly updated with newly entered data so that the most optimized and meaningful evaluations possible are created. There is the possibility to write a thesis.
Support in the further development of data analytics tools and evaluation of measurement data
Performing condition monitoring and anomaly detection methods of active vehicle safety trials
Accompanying the evaluation of measurement campaigns
Helping to maintain and further develop Matlab tools and Python modules for evaluating time series data
Perform deep learning methods and feature importance analysis on time series data
Students in the master's program in engineering, mathematics, physics, computer science, or a comparable field of study
Completed basic studies or more than 89 credit points, as well as good to very good academic performance
Advanced knowledge of statistics, Python, and Matlab
Proficiency with machine learning modules of Python, e.g., Scikit-learn, Panda, and Numpy
Basic knowledge of Matlab's signal processing toolboxes is an advantage
Confident handling of MS Office
German and English language level C1
Initiative, independent way of working, and analytical thinking skills
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
Contact person for this posting: Brigitte Adam-Huth
