Aktuelle Jobs im Zusammenhang mit Master Thesis Opportunity in Resource-Efficient Transfer Learning for Time Series Classification - Erlangen, Bayern - Siemens AG
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Erlangen, Bayern, Deutschland Siemens AG VollzeitJob Opportunity: Are you looking to combine knowledge and discover connections in a challenging project? We invite you to complete your master's thesis with us at Siemens AG. What to Expect: As a master's thesis student, you will explore and implement transfer learning techniques for on-site time series classification. This project offers a unique chance to...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitMode of Employment: LimitedExplore the Frontiers of Transfer LearningSiemens AG is seeking a highly motivated master's student to contribute to the development of resource-efficient transfer learning techniques for time series classification. As part of this project, you will have the opportunity to explore the latest advancements in transfer learning and...
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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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Erlangen, Bayern, Deutschland Siemens AG VollzeitMode of Employment: LimitedUnlock the Potential of Transfer LearningAs a Machine Learning Engineer, you will explore and implement transfer learning techniques for on-site training time series classification. You will develop an algorithm that can adapt to new data autonomously when deployed in the field. Additionally, you will identify the most...
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Erlangen, Bayern, Deutschland Siemens AG VollzeitMode of Employment: LimitedUnlock Your Potential.As a machine learning engineer, you will explore and implement transfer learning techniques for on-site training time series classification. You will develop an algorithm that can adapt to new data autonomously when deployed in the field.What You Need:You are proficient in Python for developing machine...
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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 VollzeitJob DescriptionWe 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...
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Erlangen, Bayern, Deutschland Fraunhofer-Institut für Integrierte Schaltungen IIS VollzeitJob DescriptionWe 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...
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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 VollzeitMaster-Thesis Opportunity in Adaptive Soundscape EditingWe are seeking a highly motivated 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 recorded signal.This project has the potential to make a significant impact in the field of...
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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 VollzeitMaster-Thesis in Adaptive Soundscape EditingWe 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 recorded signal, with potential applications in accessibility features for individuals with...
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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...
Master Thesis Opportunity in Resource-Efficient Transfer Learning for Time Series Classification
vor 2 Monaten
Limited
Unlock Your Potential:Are you looking for a challenging project to enhance your knowledge and skills? We invite you to complete your master's thesis with us at Siemens AG. Our team will provide you with the opportunity to combine theoretical knowledge with practical experience, exploring the latest advancements in transfer learning and time series classification.
Project Overview:We are seeking a highly motivated and skilled individual to develop an efficient transfer learning technique for time series classification. Your task will be to explore and implement novel methods for on-site training, ensuring adaptability to new data and optimal hardware efficiency. You will also integrate the solution into an industrial application, demonstrating its capabilities and showcasing real-world impact.
Requirements:- Proficiency in Python for developing machine learning models and implementing algorithms.
- Experience in C++ for implementing efficient and robust software solutions on embedded systems or AI accelerators.
- Strong background in machine learning, particularly in transfer learning and time series data analysis.
- Familiarity with data preprocessing, feature extraction, and concept drift detection techniques.
- Ability to integrate and test software on hardware platforms, ensuring efficient real-time performance.
As a master's thesis student at Siemens AG, you will gain valuable experience in a dynamic and innovative environment. You will have the opportunity to work with professionals and experts, exploring the latest advancements in transfer learning and time series classification. Our team will provide you with the necessary support and resources to ensure your success.
Join Our Community:At Siemens AG, we value diversity and inclusion. We welcome applications from talented individuals from diverse backgrounds. If you are passionate about machine learning and transfer learning, we encourage you to apply for this exciting opportunity.
