Associated Members

The status of ScaDS.AI Associated Member can be awarded to post-doctoral scientists and professors with a strong research expertise in data science, artificial intelligence (AI) and their applications. Prospective Associated Members should be internationally recognized in these research areas, have a high interest in collaborating with ScaDS.AI, and be willing to contribute their research to ScaDS.AI Dresden/Leipzig.

Portrait of Prof. Dr. Peter W. Hildebrand

Prof. Dr. Peter W. Hildebrand

Leipzig University

Institute of Medical Physics and Biophysics

Portrait of Prof. Dr. Bernd Rosenow

Prof. Dr. Bernd Rosenow

Leipzig University

Institute for Theoretical Physics

Portrait of Dr. Georg Künze

Dr. Georg Künze

Leipzig University

Institute for Drug Discovery

Portrait of Dr. Stefan Hoehme

Dr. Stefan Hoehme

Leipzig University

IZBI (Interdisciplinary Centre for Bioinformatics)

Portrait of Prof. Dr. Peter Uhrig

Prof. Dr. Peter Uhrig

FAU Erlangen-Nürnberg

Lehrstuhl für Digitale Linguistik mit Schwerpunkt Big Data

Portrait of Jun.-Prof. Clara T. Schoeder

Jun.-Prof. Clara T. Schoeder

Leipzig University

Institute of Drug Discovery

Portrait of Jun.-Prof. Julia Westermayr

Jun.-Prof. Julia Westermayr

Leipzig University

Artificial Intelligence in Theoretical Chemistry

Rights and Duties

ScaDS.AI supports Associated Members in networking and developing joint projects. The status allows participation in internal general meetings, lectures, and conferences of ScaDS.AI. In addition, the status enables the scientist to be mentioned and presented on the ScaDS.AI website, for which the scientist has to provide appropriate content. However, the status does not usually entail financial support.

Associated Members commit themselves to support ScaDS.AI and to name their ScaDS.AI co-affiliation in publications related to AI or data science. Corresponding publications of Associated Members will be listed on the ScaDS.AI website.


To become a ScaDS.AI Associated Member, an informal application is required. The application should include a cover letter, CV, list of publications, a research concept (about one page) describing the research focus and outlining the collaborative interests within ScaDS.AI, and a letter of support from at least one ScaDS.AI PI. Applications should be directed to one of the directors of ScaDS.AI Dresden/Leipzig.

Selected candidates will be invited to give a ScaDS.AI public lecture followed by an interview with the ScaDS.AI Management Board. Associated Members are admitted by the decision of the ScaDS.AI Board. The membership is valid for 3 years and can be renewed after a new application.

Find out more about the team of ScaDS.AI Dresden/Leipzig.