The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, 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. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and 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.
Be part of change
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 contribute
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 we offer
- 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
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. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. The maximum monthly working time is 40 hours. 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.
Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
Professional queries:
Andrew McLeod
[email protected]
Questions about the application process:
Katrin Pursche
Phone +49 3677 467-312
[email protected]
Fraunhofer Institute for Digital Media Technology IDMT
Requisition Number: 9154 Application Deadline:
