Hybrid Working Student (f/m/d) Product Engineering RADAR SYSTEMS (Tool development based on Data Science, Machine Learning) bei NXP
NXP · Hamburg, Deutschland · Hybrid
- Optionales Büro in Hamburg
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)
- 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
More information about NXP in Germany...
#LI-3da9 Jetzt bewerben