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 Bosch Sensortec GmbH is looking forward to your application!
Job Description
- During your internship you will work on signal processing of MEMS IMU data and turn your ideas into reality by developing innovative algorithms.
- You will utilize cutting-edge methods of artificial intelligence and machine learning to optimize the functionality of our products and explore new application possibilities.
- Beyond development, you'll conduct compelling experiments, analyze the outcomes, and confidently present your insights.
- Expect to work hand-in-hand with diverse experts from various fields, fostering a collaborative environment for innovative and creative problem-solving.
- Throughout, you will meticulously document your progress and share your results with the entire team.
Qualifications
- Education: Master studies in the field of Electrical Engineering, Computer Science, Mechanical Engineering, Physis or comparable with good grades
- Experience and Knowledge: with developing Machine Learning algorithm using time series data ideally with MEMS IMU sensors; good in programming languages like Python/C; experience with various libraries such as Numpy, Pandas, TensorFlow/PyTorch; knowledge in Digital Signal Processing is beneficial
- Personality and Working Practice: you excel at rapidly grasping new tech, prioritizing tasks collaboratively, and proactively driving innovative and creative solutions
- Enthusiasm: passionate about new technologies and their applications
- Languages: fluent 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?
Ye Lu (Functional Department)
+49 7121 35 39014
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