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Bosch Group invites candidates for a 6-month thesis internship centered on algorithm development for CNNs in processing acoustic signals. Applicants should have a Master's study background in Electrical Engineering or Computer Science, with proficiency in Python and Digital Design. Enthusiasm for technology innovations is crucial.
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Prior to feeding data to neural networks, spectrum is typically generated using sliding window FFT and MFCC on acoustic signals. This approach treats acoustic signals as images, and image-based neural networks such as CNNs are utilized to perform tasks such as keyword spotting and denoising.
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is enrollment at university. Please attach your CV, transcript of records, examination regulations, and if applicable, a valid work and residence permit.
Diversity and inclusion are integral to our culture. We welcome all applications regardless of gender, age, disability, religion, ethnicity, or sexual orientation.
Need further information about the job?
Andre Guntoro (Functional Department)
+49 152 588 13129
#LI-DNI