Intership in Measurement Systems and Machine Learning for Inertial Sensor Characterization

Company Description

Bosch Sensortec GmbH develops and markets key technologies in consumer electronics – micro-electro-mechanical sensors (MEMS), solutions and systems for smartphone applications, tablets, video game consoles, wearables, and the Internet of things. The sensors enable devices to recognize their surroundings and to transmit the data collected. MEMS are therefore part of the foundation for a networked world. Bosch Sensortec GmbH is a wholly owned subsidiary of Robert Bosch GmbH. 

The Robert Bosch GmbH is looking forward to your application!

Job Description

• You can optimize high-precision measurement setups by improving the accurcy and reliability of advanced inertial sensors by fine-tuning measurement systems.
• Boost measurement efficiency and data pipelines with your ideas. Capture key insights while streamlining data collection and transfer.
• Enhance data preprocessing and analysis. Uncover valuable insights by applying state-of-the-art ML techniques.
• 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

• Education: studies in the field of Electrical Engineering, Mechanical Engineering, Computer Science or comparable
• Experience and Knowledge: good knowledge in Raspberry Pi, Electronics, Control Systems and Python
• Personality and Working Practice: solution-oriented mindset, independent work style and good teamwork skills
• 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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