Internship Measurement Systems and Machine Learning for Inertial Sensor Characterization

Job Description

Measurement systems and machine learning – for you, this is not just theory, but the chance to redefine precision and create intelligent solutions? Then dive into the world of inertial sensor characterization and shape the future of high-precision measurement technology with us.

• During your internship you will optimize high-precision measurement setups to significantly elevate the accuracy and reliability of our advanced inertial sensors.
• With your ideas, you will boost the efficiency of our measurement processes and optimize data pipelines. You will capture key insights while streamlining data collection and transfer.
• You will apply state-of-the-art machine learning techniques to gain valuable insights from our data and improve preprocessing and analysis.
• Furthermore, you will contribute to the development of intelligent systems by training, fine-tuning, and shaping the entire lifecycle of machine learning models.

Qualifications

• Education: studies in the field of Electrical Engineering, Mechanical Engineering, Computer Science or comparable
• Experience and Knowledge: in circuit design, electronics, control systems and Python
• Personality and Working Practice: you excel at proactively developing solutions, both by driving tasks forward independently and through effective team collaboration
• Work Routine: we offer you the opportunity to work in a hybrid setup
• Languages: very good in 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)
+49 173 5221643

Work #LikeABosch starts here: Apply now!

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