Master-Thesis (m/f/d) – Lightweight Environment Classification for Hearables
vor 3 Wochen
We are seeking a highly motivated and skilled student to work on a Master-Thesis project in the field of acoustic scene classification for hearables. The project aims to develop a lightweight environment classification system for hearables, which will enable users to classify their surroundings and make informed decisions about their audio settings.
Responsibilities- Develop a lightweight environment classification system for hearables
- Design and implement a machine learning-based approach for acoustic scene classification
- Test and evaluate the performance of the system using various metrics
- Collaborate with the research team to integrate the system into existing hearable devices
- Master's degree in Computer Science, Electrical Engineering, or a related field
- Strong programming skills in Python or C++
- Experience with machine learning and deep learning techniques
- Good understanding of audio signal processing and acoustic scene classification
- A dynamic and collaborative research environment
- Opportunities for professional growth and development
- Access to state-of-the-art research facilities and equipment
- A competitive stipend and benefits package
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitMaster-Thesis Opportunity: Lightweight Environment Classification for HearablesWe are seeking a highly motivated and skilled student to work on a master-thesis project focused on lightweight environment classification for hearables. The project aims to develop a minimal footprint machine learning approach for acoustic scene classification, enabling the...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitMaster-Thesis Opportunity in Hearable Environment ClassificationWe are seeking a highly motivated and skilled research assistant to work on a master's thesis project in the field of hearable environment classification. The project aims to develop a lightweight and efficient method for classifying acoustic scenes, which can be used to improve the performance...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitMaster-Thesis Opportunity in Hearable Environment ClassificationWe are seeking a highly motivated student to work on a Master-Thesis project in the field of hearable environment classification. The project aims to develop a lightweight acoustic scene classification system for hearables, which will enable users to adapt to different environments and improve...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitMaster-Thesis Opportunity in Hearable Environment ClassificationWe are seeking a highly motivated student to work on a Master-Thesis project in the field of hearable environment classification. The project aims to develop a lightweight acoustic scene classification system for hearables, which will enable users to adapt to different environments and improve...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitWe are seeking a highly motivated and skilled student to work on a Master-Thesis project in the field of acoustic scene classification for hearables.**Project Overview**The project aims to develop a lightweight environment classification system for hearables, which will enable adaptive transparence/noise cancellation. This will be achieved by classifying the...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitResearch Opportunity: Lightweight Environment Classification for HearablesWe are seeking a highly motivated student to work on a master's thesis project at Fraunhofer-Institut für Integrierte Schaltungen IIS. The project focuses on developing a lightweight environment classification system for hearables, leveraging machine learning techniques and signal...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitResearch Opportunity: Lightweight Environment Classification for HearablesWe 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...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitResearch Opportunity in Adaptive Soundscape EditingThe Fraunhofer-Institut für Integrierte Schaltungen IIS is seeking a highly motivated research assistant to work on a master-thesis project in the field of adaptive soundscape editing based on classified acoustic events.Project Overview:The goal of this project is to develop an algorithm for removing...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitAdaptive Soundscape Editing Master-Thesis OpportunityWe are seeking a highly motivated and skilled student to work on a Master-Thesis project in the field of adaptive soundscape editing. The project aims to develop an algorithm for removing classified acoustic events from a given recorded signal.Project OverviewThe goal of this project is to investigate the...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitAdaptive Soundscape Editing Master-Thesis OpportunityWe are seeking a highly motivated and skilled student to work on a Master-Thesis project in the field of adaptive soundscape editing. The project aims to develop an algorithm for removing classified acoustic events from a given recorded signal.Project OverviewThe goal of this project is to investigate the...
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Adaptive Soundscape Editing Researcher
vor 2 Wochen
Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitResearch Opportunity: We are seeking a highly motivated researcher to work on a Master Thesis project focused on adaptive soundscape editing based on classified acoustic events.About the Project: The goal of this project is to develop an algorithm that can remove classified acoustic events from a given recorded signal. This could be used as an accessibility...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitUnlock Your Potential with Siemens AGWe are seeking a highly motivated and skilled Master's student to join our team and work on a thesis project that combines knowledge, innovation, and real-world impact.About the ProjectAs a Machine Learning Engineer, you will explore and implement transfer learning techniques for on-site training time series...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitUnlock Your Potential with Siemens AGWe are seeking a highly motivated and skilled Master's student to join our team and work on a thesis project that combines knowledge, innovation, and real-world impact.About the ProjectAs a Machine Learning Engineer, you will explore and implement transfer learning techniques for on-site training time series...
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Adaptive Soundscape Editing Researcher
vor 2 Wochen
Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitResearch Opportunity in Adaptive Soundscape EditingWe are seeking a highly motivated researcher to work on a master's thesis project in adaptive soundscape editing based on classified acoustic events.The project aims to develop an algorithm for removing unwanted sounds from recorded signals, with potential applications in accessibility features for...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitUnlock Your Potential with Siemens AGWe are seeking a highly motivated and skilled Master's student to join our team and work on a thesis project that combines knowledge, innovation, and real-world impact.About the ProjectAs a Machine Learning Engineer, you will explore and implement transfer learning techniques for on-site training time series...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitUnlock Your Potential with Siemens AGWe are seeking a highly motivated and skilled Master's student to join our team and work on a thesis project that combines knowledge, innovation, and real-world impact.About the ProjectAs a Machine Learning Engineer, you will explore and implement transfer learning techniques for on-site training time series...