Thesis (M/F/d) Machine Learning Acoustic Evaluation
Vor 4 Tagen
**Your tasks**:
- Use the existing ML models and frameworks like TensorFlow Light
- Evaluate other frameworks - how well do they work for background noise, for example
- Which sounds can be detected better, which worse?
**Application tips**:
- Application
- Interview
- Contact persons
**Your qualifications**:
- Academic studies of electrical engineering, computer science or similar
- If experience with machine learning frameworks is available that would be advantageous
- Linux experience on Raspberry Pi beneficial- Reference number: 4737
- Recruiting
- Contact: Tanja Feßmann- With its leading solutions in the areas of Test & Measurement, Technology Systems and Networks & Cybersecurity, the Rohde & Schwarz technology group is one of the pioneers of a secure and connected world. Founded more than 85 years ago, the Group is a reliable partner for its customers from the private and public sectors around the globe. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.
**Our offer**:
Opportunities to work from homeFlexible working hour modelsAttractive compensationTraining & continuing educationParking spacesOccupational pension schemePrivately owned companyHealth care30 days of vacationCompany doctorFamily servicesPromoting innovationMarriage and birth benefitLong-term & attractive work environmentSpecial payments
- Show more
City/region
Munich (Germany)
Entry level
Students writing thesis (Bachelor / Masters)
Employment Type
Full-time, limited
Ref. Number
4737
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