Chair of Multimedia Communications and Signal Processing


Positions for student assistants (Hiwis) at the chair

As a supplement to lectures, the chair regularly offers tutorials supervised by student assistants. This concerns, for example, the lectures Signals and Systems I, Signals and Systems II or Digital Signal Processing. If you have completed the relevant examinations with a good or very good exam result, we look forward to receiving your application, which you should address to the tutors of the tutorials or tutorials. We also regularly look for student assistants to help with our research projects Please contact one of the professors at the chair.

Positions for scientific staff

We are regularly looking for graduates of electrical engineering, electronics and information technology as well as related courses of study for the participation in our research projects with the possibility for the promotion. If you have an above-average degree, sound knowledge in the fields of signal processing and information technology and programming experience, we look forward to receiving your application. These please furnish with the usual documents

Friedrich Alexander University Erlangen-Nuremberg
Chair of Multimedia Communications and Signal Processing
Prof. Dr.-Ing. André Kaup
Cauerstraße 7
91058 Erlangen

or directly to the university teacher with whom you would like to work.

Postdoc Position in Machine Learning for Audio Signal Processing

At the Audio Signal Processing Group of the LMS, a fully funded postdoc position (100%, funded according to the German public service salary level TVL-E13) is available for a 2-year period from now on, with the possibility of extension subject to continued funding.

We are looking for researchers with an excellent PhD in electrical engineering, computer science, physics, or mathematics. A strong background in statistical signal processing as well as familiarity with state-of-the-art machine learning techniques are expected. Prior experience in speech and audio signal processing is a definite plus. English language proficiency and programming skills in Matlab or Python, and C/C++ are required.

The goal of the project is to advance the development of data-driven techniques for real-time acoustic signal processing tasks, such as system identification, signal enhancement and source separation. Significant results will be presented at leading conferences and published in high-impact journals.

The University Erlangen-Nuremberg aims at an increase of female staff members and hence encourages qualified women to apply. The application of qualified persons with handicaps is also encouraged.

Please send your application, containing CV, Master’s transcript, PhD certificate, motivation letter, electronic copies of up to three relevant publications, and the email addresses of at least two references to Prof. Dr.-Ing. Walter Kellermann,, at your earliest convenience. Position will be open until filled.