Reutlingen, BW, Germany
Live, first seen by us 24 days agoPersonality and Working Practice: you excel at structuring your tasks systematically, actively exploring new concepts with curiosity, and driving results with high motivation Work Routine: your on-site presence is required Languages: fluent in English and good in GermanRead the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Requirement for this thesis is the enrollment at university
Build ML algorithms for system identification and performance prediction of MEMS gyroscopes
Analyze MEMS gyroscope data in detail
Compare physically informed ML against other architectures
Validate findings using real-world sensor data
you will construct machine learning (ML) algorithms for system identification and performance prediction of MEMS gyroscopes
You will examine MEMS gyroscope data through detailed analysis.
you will assess physically informed ML in comparison to other architectures
you will work with real-world sensor data to validate your findings
Requirement for this thesis is the enrollment at university.
Master studies in the field of Informatics, Physics, Engineering or comparable with good grades
Experience and Knowledge: in data driven parameter identification
knowledge of Python, PyTorch, Pandas, and Probabilistic Modeling
fluent in English and good in German
It is possible to include a 1-month internship before starting the thesis
Job Description Are you eager to connect physical insights with advanced AI? We are offering an exciting master's thesis opportunity to work on physically informed machine learning for system identification and performance modeling of MEMS gyroscopes. - During your assignment, you will construct machine learning (ML) algorithms for system identification and performance prediction of MEMS gyroscopes.
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- Education: Master studies in the field of Informatics, Physics, Engineering or comparable with good grades - Experience and Knowledge: in data driven parameter identification; knowledge of Python, PyTorch, Pandas, and Probabilistic Modeling; practical experience with hands-on data handling and pipeline construction - Personality and Working Practice: you excel at structuring your tasks systematically, actively exploring new concepts with curiosity, and driving results with high motivation
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Yes. We’ve followed one other Master Thesis Physically Informed Machine Learning Based System Identification in MEMS Gyroscopes job there since August 2026. It came down after 26 days.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Are you eager to connect physical insights with advanced AI? We are offering an exciting master's thesis opportunity to work on physically informed machine learning for system identification and performance modeling of MEMS gyroscopes.
Start: March/April 2027
Duration: 6 months
It is possible to include a 1-month internship before starting the thesis
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations, job references 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?
Jan Ullmann (Functional Department)
+49 7121 354652
Max Laser (Functional Department)
+49 173 2520609
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Reutlingen, BW, Germany
- Personality and Working Practice: you excel at structuring your tasks systematically, actively exploring new concepts with curiosity, and driving results with high motivation - Work Routine: your on-site presence is required - Languages: fluent in English and good in German
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