Research Associate in The Field of »semantic Music
vor 3 Wochen
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 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.
The "Semantic Music Technologies" group develops methods and software solutions for robust, AIbased detection and analysis of music and audio data, which are used in broadcasting and music production as well as for acoustic monitoring of environmental sounds such as urban noise or animal sounds.
**What you will do**
- research and development of algorithms and AI models for music generation and the detection thereof
- evaluation and further development of pre-existing AI models for music generation
- development and presentation of demonstrators and prototypes
- support in preparation of grant proposals
- publication of research results and presentation at conferences
- supervision of student internships and final theses
**What you bring to the table**
- completed scientific studies (Masters, Diploma) in computer science or a comparable course of study
- at least 2 years of working experience post-graduation in a related field
- experience with
- audio signal processing
- deep learning
- AI-based generation
- experience working with large amounts of data
- preferable, but not required:
- PhD in related field
- experience with deep learning for audio or time series data
- experience with audio or music generation
- experience with listening tests
- motivation, initiative, flexibility, and willingness to perform
- a strong independence and reliability as well as a thorough way of working
- enjoying interdisciplinary cooperation and being willing to take on responsibility
- good communication skills
- analytical, structured and output-driven working style
- very good knowledge of English, both written and spoken
- at least basic knowledge of German and motivation to learn
**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
- a wide range of opportunities for professional development and further training
- an excellent technical infrastructure
- a very good work-life balance thanks to flexible working hours, a co-child office and the possibility of mobile working
- 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
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.
**Professional queries**:
Andrew McLeod
Katrin Pursche
Fraunhofer Institute for Digital Media Technology IDMT
Requisition Number: 76448 Application Deadline: 11/15/2024
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