FAQs
What is the maximum working hours for this position?
The maximum working hours for this position are 18 hours per week.
Where is the job location?
The job location is in Hamburg, on site.
What field of study is preferred for applicants?
Preferred fields of study for applicants include Computer Science, Electrical Engineering, High Frequency Technology, Physics, or similar disciplines.
What programming language and libraries should candidates be familiar with?
Candidates should be experienced in programming with Python and using ML-based libraries such as SciKit-Learn, TensorFlow, or PyTorch.
Is experience in electrical circuit technology required?
While a solid background in electrical circuit technology is a plus, it is not explicitly required for this position.
What kind of tools will the working student be developing?
The working student will co-develop ML-based tools for Radar RF performance prediction, anomaly detection, test data clustering, and automated data analysis.
Is knowledge of Agile methodologies beneficial for this role?
Yes, knowledge of common software engineering practices like Agile methodologies is considered a plus for this role.
What languages should applicants be fluent in?
Applicants should be fluent in English and/or German.
Is independence in work an important trait for this position?
Yes, being able to work independently and accurately is an important trait for this position.
Is there an opportunity to work in a multi-national team?
Yes, there is an opportunity to work in a multi-national team for this position.