Thesis (M/F/d) Machine Learning Acoustic Evaluation - Munich, Deutschland - ROHDE & SCHWARZ GmbH & Co. KG

ROHDE & SCHWARZ GmbH & Co. KG

Geprüftes Unternehmen

Munich, Deutschland

vor 4 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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: 473
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

City/region

Munich (Germany)

Entry level

Students writing thesis (Bachelor / Masters)

Employment Type

Full-time, limited

Ref. Number

4737