Internship in Algorithm Development for MEMS Sensors in Hearable Devices
Internship in Algorithm Development for MEMS Sensors in Hearable Devices
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Salary Not Disclosed
1 Vacancy
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 youll 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)
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
