Master-Thesis (m/f/d) – Lightweight Environment Classification for Hearables: A Research Opportunity

vor 4 Wochen


Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS Vollzeit

Research Opportunity: Lightweight Environment Classification for Hearables

We are seeking a highly motivated master's student to collaborate with our team on a research project focused on lightweight environment classification for hearables. The project aims to develop a minimal footprint machine learning approach for environment classification, which can be used to improve the performance of adaptive transparence/noise cancellation on hearables.

Key Responsibilities:

  • Develop a low-complexity acoustic scene classification model using machine learning techniques
  • Design and implement a decision tree based on user preference tests for ANC/Transparency/Neither
  • Collaborate with our team to integrate the classification model into a hearable device

Requirements:

  • Currently studying Computer Science, Electrical Engineering, or a related field
  • Proficient in Python programming and experienced in signal processing
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch

What We Offer:

  • Flexible working hours and a collaborative work environment
  • Opportunities for professional growth and development
  • Networking with scientists and researchers in the field

We value diversity and welcome applications from candidates with different backgrounds and experiences. If you are interested in this research opportunity, please submit your application, including a cover letter, CV, and transcripts.



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