FAQs
What is the main focus of the Internship Data Analysis AI Active Safety position?
The main focus is on supporting the development of data analytics tools and evaluating measurement data related to active and passive safety testing in vehicles.
What educational background is required for this internship?
Candidates must be students in a master's program in engineering, mathematics, physics, computer science, or a comparable field of study.
How many credit points must a candidate have completed to qualify for this internship?
Candidates should have completed more than 89 credit points.
What programming languages and tools should applicants be proficient in?
Applicants should have advanced knowledge of Python and Matlab, particularly with machine learning modules such as Scikit-learn, Panda, and Numpy.
Is knowledge of any specific Matlab toolboxes beneficial for applicants?
Yes, basic knowledge of Matlab's signal processing toolboxes is considered an advantage.
What languages must candidates be fluent in?
Candidates must have a C1 level proficiency in both German and English.
What skills are important for candidates applying for this internship?
Initiative, an independent way of working, and strong analytical thinking skills are important.
What documents need to be submitted with the application?
Applicants must submit a curriculum vitae, a current certificate of enrolment, a current transcript of records, and for compulsory internships, an additional certificate from the university. Non-EU citizens must also provide a work permit.
Is there an opportunity for candidates to write a thesis during this internship?
Yes, there is the possibility for candidates to write a thesis as part of this internship.
Who should candidates contact for more information about the job posting?
Candidates should contact Brigitte Adam-Huth for more information regarding this job posting.