Student assistant in the field of "Semantic Music Technolgies«

implementation/porting of algorithms from the fields of deep learning and audio signal processing extension of methods in the field of music information retrieval, e.g. for automatic music annotation and music similarity, music transcription, instrument recognition, chord and beat detection expansion of methods in the field of generative music AI, e.g. audio generation, melody generation, automatic mixing, generative AI detection and attribution extension of graphical user interfaces & web interfaces (APIs) manual annotation of audio, video and images

The following skills are required:

• experience with algorithm development in Python
• knowledge of digital signal processing, machine learning methods, deep learning

The following knowledge is advantageous/desirable:

• experience in software development with C++
• experience in web programming (Javascript, etc.)
• experience with web APIs, cloud platforms such as AWS

exciting market-relevant topics with complex issues for which there are no market solutions yet renowned partners and customers with whom you will work closely to develop technologies for a sustainable future an excellent technical infrastructure a very good work-life balance thanks to flexible working hours and a co-child office a new work, diversity and plurality of opinion are an integral part of our culture a tolerant atmosphere with an open feedback culture good transport connections and proximity to the state capital Erfurt attractive savings opportunities with numerous corporate partners as part of the Fraunhofer Corporate Benefits Program