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. 

 

What We Offer:

Practical Experience: Take the opportunity to learn and grow in an innovative environment.Creative Freedom: Contribute your ideas and work on projects that make a real difference.Mentoring: Learn from experienced professionals and gain valuable insights into the industry.Flexibility: Enjoy flexible working hours and an inspiring work atmosphere.

The Bosch Sensortec GmbH is looking forward to your application!

Job DescriptionDevelop Innovative Algorithms: Work on signal processing of MEMS IMU data and turn your ideas into reality.Artificial Intelligence and Machine Learning: Utilize cutting-edge methods to optimize the functionality of our products and explore new application possibilities.Experiment and Validate: Conduct exciting experiments, analyze results, and present your findings.Interdisciplinary Collaboration: Work closely with experts from various fields to develop creative solutions.Documentation and Presentation: Keep track of your progress and share your results with the team.

QualificationsYou are an enrolled student in a relevant field (e.g., Electrical Engineering, Computer Science, Mechanical Engineering, Physics or similar majors).You have basic knowledge of signal processing and some experience with machine learning algorithms.Programming skills in Python, MATLAB, or C++ are a plus.You are passionate about wearable technologies and their applications.Team spirit, creativity, and a proactive work ethic define you.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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