Student Assistant in the Field of “Semantic Music Technologies”

Fraunhofer-Gesellschaft · Ilmenau

HiWiGerman needed: not said

Still open on 1 Nov

You apply on the company's own website.

What you will do

Implementing and porting algorithms in deep learning and audio signal processing.
Extending music information retrieval methods, for example for automatic music annotation, music similarity, music transcription, instrument, chord and beat recognition.
Extending generative music AI methods, including audio generation, melody generation, automatic mixing, and generative AI detection and attribution.
Extending graphical user interfaces and web interfaces.
Manually annotating audio, video and images.

Experience developing algorithms in Python.
Knowledge of digital signal processing, machine learning methods and deep learning.
Experience in software development with C++, web programming, web APIs and cloud platforms such as AWS is an advantage.
An interest in music, especially knowledge of music theory.

Implementing and porting algorithms in deep learning and audio signal processing.
Extending music information retrieval methods, for example for automatic music annotation, music similarity, music transcription, instrument, chord and beat recognition.
Extending generative music AI methods, including audio generation, melody generation, automatic mixing, and generative AI detection and attribution.
Extending graphical user interfaces and web interfaces.
Manually annotating audio, video and images.

Experience developing algorithms in Python.
Knowledge of digital signal processing, machine learning methods and deep learning.
Experience in software development with C++, web programming, web APIs and cloud platforms such as AWS is an advantage.
An interest in music, especially knowledge of music theory.