FAQs
What is the main focus of the Vehicle Safety Test Technology team?
The main focus is on active and passive safety experiments, which includes developing test facilities, measuring equipment, analysis methods, and software tools necessary for these experiments.
What kind of students are eligible to apply for this internship?
Students in engineering, computer science, data science, or comparable fields of study are eligible to apply.
What programming skills are required for this internship?
Good programming skills in Python, including the application of object-oriented programming (OOP) principles, are required.
Are there any specific machine learning frameworks or libraries that candidates should be familiar with?
Yes, candidates should have basic knowledge of relevant machine learning frameworks such as PyTorch or TensorFlow, as well as data processing libraries like Pandas.
Is there an opportunity to write a thesis during or after the internship?
Yes, there is a possibility to write a thesis after completing the internship.
What level of language proficiency is required for this position?
A German and English language proficiency level of C1 is required.
Is a driver's license necessary for this internship?
A driver's license is advantageous but not explicitly required.
What documents need to be submitted with the application?
Applicants must submit a curriculum vitae, current certificate of enrollment, current transcript of records, and for compulsory internships, an additional certificate from the university. Non-EU citizens also need to provide a work permit.
What type of analyses will the intern be involved in?
The intern will conduct data processing, analysis, and visualization, with a focus on condition monitoring of mobile robots and physics-informed models.
Who can I contact for more information regarding this internship position?
For more information, you can contact Brigitte Adam-Huth, the designated contact person for this posting.