Research Internships, Projects, Master Thesis

Music processing and music information retrieval (MIR) are exciting research fields related to different disciplines, including signal processing, machine learning, information retrieval, musicology, and the digital humanities. This diversity opens up many opportunities for challenging, interdisciplinary, and fascinating research projects at the intersection of engineering, computer science, data science, artificial intelligence and humanities.

We are a highly motivated team, and we love doing research combining technology and music. We also attach great importance to close cooperation in education and teaching, looking for highly motivated students who want to work in music and audio processing. We offer a range of topics we discuss on request (see the FMP Notebooks for examples and the website of previous students), and we try our best to provide intensive supervision on an individual basis. In the following, we summarize what we typically require from you when conducting a project in our group and provide links for further information.

General Requirements

In our research group, we offer topics for research internships, research projects, or Master theses, where we study computational techniques for processing, searching, organizing, and accessing music-related data. Assuming a technically oriented perspective in these projects, we require that you have

  • a good understanding of mathematical concepts,
  • advanced programming skills (e.g., Python), and
  • a strong interest in working with music data.

Furthermore, we assume that you have a strong background in a field related to engineering or computer science. For example, you may have taken advanced courses in areas such as

  • signal, audio, and image processing,
  • algorithms, data structures, and information retrieval, or
  • machine learning and pattern recognition.

Requirements in Music Processing

In particuar, we require that you have an excellent understanding of music processing concepts as covered by the lecture Music Processing Analysis or the textbook Fundamentals of Music Processing. Also, you should have advanced programming experience which would allow you to easily apply and work with code from Python packages, such as librosa and libfmp. Please check the following links for more details:

Study Programmes at FAU

Depending on the FAU study program, there are different possibilities for a research project or internship. For example:

  • Research Internship at the AudioLabs (FOR-ALABS-10) [10 ECTS]
    Master programs EEI, CME, ICT
    Exam number: 1995
  • Major/Minor Research Project [15/10 ECTS]
    Master program ASC
  • Project Music and Audio Processing (ProjMAP) [10 ECTS]
    As Project Modul for INF-MA and Project I/II for AI-MA
    Exam number: 31641

Opportunities at Fraunhofer IIS

Further Links and Material


For further information, please contact Prof. Meinard Müller or any of his current staff members and PhD students.