Student Assistant in the Field of “Semantic Music Technologies”
Fraunhofer-Gesellschaft · Ilmenau
HiWiGerman needed: not said
Still open on 2 NovKey facts
- Pay
- Pay follows an internal agreement for student helpers
What you'll do
- Implementation/porting of algorithms from the fields of deep learning and audio signal processing
- Extension of methods in Music Information Retrieval, e.g. automatic music annotation and music similarity, music transcription, instrument recognition, chord and beat detection
- Extension of methods in 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
What you need
- Experience with algorithm development in Python
- Knowledge of digital signal processing, machine learning methods, deep learning
- Advantageous: Experience in software development with C++
- Advantageous: Experience in web programming (JavaScript etc.)
- Advantageous: Experience with web APIs, cloud platforms such as AWS
- Advantageous: Interest in music, especially knowledge of music theory
What you get
- Exciting, market-oriented topics with complex questions for which there are no solutions on the market yet
- Renowned partners and customers with whom you closely exchange ideas to develop technologies for a sustainable future
- An excellent technical infrastructure
- Very good work-life balance through flexible working time models and a parent-child office
- A tolerant atmosphere with an open feedback culture
- New Work, diversity and diversity of opinion are lived parts of our company culture
- Good transport links and proximity to the state capital Erfurt
- Attractive discounts from numerous company partners through Fraunhofer Corporate Benefits