Student assistant in the field of \"Semantic Music Technolgies«

Fraunhofer Gesellschaft; Ilmenau; Hybrid; EUR 17.000 - 25.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

Co-child office

Zusammenfassung

Fraunhofer IDMT in Ilmenau, Thuringia invites students to join as a student assistant in semantic music technologies. You will research and implement algorithms for music information retrieval under supervision, focusing on deep learning and audio signal processing.

Ideal candidates have Python experience and knowledge of digital signal processing, machine learning, and optionally C++ for software development.

Qualifikationen

• Experience with Python for algorithm development.
• Knowledge of digital signal processing, machine learning and deep learning.
• Experience with C++ is advantageous.
• Enrolled student with interest in music information retrieval.

Aufgaben

• implementation/porting of algorithms from deep learning and audio signal processing
• extension of methods in music information retrieval for annotation, similarity, transcription, instrument recognition, chord and beat detection
• expansion 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

Kenntnisse

Python programming

Digital signal processing

Machine learning

Deep learning

Ausbildung

Currently enrolled in a degree in Computer Science or related field

Tools

C++

Web APIs

AWS

Jobbeschreibung

Student assistant in the field of "Semantic Music Technolgies«

The Fraunhofer-Gesellschaft (www.fraunhofer.com ) is one of the world's leading organizations for application-oriented research. 74institutes develop pioneering technologies for our economy and society – more precisely: 30000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

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 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.