Job Description
1. You can optimize high-precision measurement setups by improving the accurcy and reliability of advanced inertial sensors by fine-tuning measurement systems.
2. Boost measurement efficiency and data pipelines with your ideas. Capture key insights while streamlining data collection and transfer.
3. Enhance data preprocessing and analysis. Uncover valuable insights by applying state-of-the-art ML techniques.
4. You will also train and fine-tune ML models. In doing so, you will contribute to the development of intelligent systems by setting up the ML lifecycle.
Qualifications
5. Education: studies in the field of Electrical Engineering, Mechanical Engineering, Computer Science or comparable
6. Experience and Knowledge: good knowledge in Raspberry Pi, Electronics, Control Systems and Python
7. Personality and Working Practice: solution-oriented mindset, independent work style and good teamwork skills
8. Languages: fluent in written and spoken English
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Dennis Huber (Functional Department)
+49 7121 35 35025
Stefano De Blasi (Functional Department)
+49 7121 35 31772
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