Job Description

Your responsibilities:

Join our Product Engineering team and take ownership of impactful, research-driven projects that shape the future of radar systems. You’ll work independently, collaboratively and bring your own ideas and solutions to the table to:


Develop ML tools for RF performance prediction, anomaly detection, and data clustering Improve and validate existing analytics tools Build automated data pipelines and contribute to AI-driven workflows Integrate academic and industry research into practical solutions
You’ll receive technical mentorship and collaborate with international experts across radar hardware, software, and data science—gaining access to a broad knowledge network.

Your profile:

We’re looking for a curious, self-motivated student who enjoys solving complex problems and is eager to take initiative. You should bring:


Enrollment in Computer Science, Electrical Engineering, Physics, or a related field Strong Python skills and experience with ML libraries (scikit-learn, TensorFlow, PyTorch) Solid foundation in statistics and data analysis Interest in radar systems, data science, and AI A mindset for learning quickly and working independently after an initial ramp-up The ability to incorporate research into practical engineering solutions Fluency in English (German is a plus)

Tech Stack

Languages & Libraries: Python, NumPy, Pandas, scikit-learn, TensorFlow, PyTorch Visualization: Matplotlib, Seaborn Cloud: AWS (S3, EC2, SageMaker) Tools: Jupyter Notebooks, Git

Working time:

max. 18 hrs/week

Job location:

Hamburg, on site


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