Student assistant in the field of "Semantic Music Technolgies«

The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered in Ilmenau, Germany, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau” researchers work on technologies for robust, trustworthy AI-based analysis and classification of audio and video data. These technologies are used, among other things, to monitor industrial production processes, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently around 120 employees working at Fraunhofer IDMT in Ilmenau.   What you will do For ongoing projects and preliminary research in the field of music information retrieval, Fraunhofer IDMT is looking for students who would like to conduct research and work in the area of semantic analysis, search and recommendation of music data. The main areas of responsibility include the following: 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   What you bring to the table 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   What you can expect 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     The maximum monthly working time is 40 hours. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.  Interested? Apply online now. We look forward to getting to know you    Professional queries: Dr. Jakob Abeßer Phone +49 3677 467-288   Questions about the application process: Katrin Pursche Phone +49 3677 467-312 Fraunhofer Institute for Digital Media Technology IDMT    Requisition Number: 9154                Application Deadline: