Your responsibilities:

• Co-develop ML-based tool for Radar RF performance prediction

• Develop ML-based tool for anomaly detection (supervised/unsupervised) in Radar RF performance parameters

• Co-develop ML-based tool for test data clustering

• Understand existing ML-based tool for comparative test data analytics, tool improvement, testing

• Contribute to development of AI-based future ways of working

• Tool development for automated data analysis and auto-ML

Your profile:

• Student of Computer Science, Electrical Engineering, High Frequency Technology, Physics, or similar

• Experienced in programming with Python and usage of ML based libraries like SciKit-Learn, Tensorflow or PyTorch

• Solid background in statistics

• Knowledge in electrical circuit technology and common SW engineering practices (Agile) is a plus

• Interested in (big) data analytics and data science

• Able to work independently and accurately

• Interested in working in a multi-national team

• Fluent in English and/or German

Working time: max. 18 hrs/week
Job location: Hamburg, on site

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