Heinrich-Heine-Universität Düsseldorf

W3 Professorship in Data Science in Psychology

Düsseldorf · Germany

About the role

Employer: Heinrich-Heine-Universität Düsseldorf
Work location: Düsseldorf, Germany
Employment: Full-time with part-time options
Pay information supplied by the source: W 3
Application deadline: 2026-10-28

The Faculty of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf invites applications for a

W3 Professorship in Data Science in Psychology

to be filled as of 01.10.2028. 

We are seeking an individual with an internationally recognised track record in psychological research in the field of data science. The focus should be on complex data analyses in one or more areas of psychological application. Experience in machine learning/artificial intelligence is desirable. Substantial success in securing competitive third-party funding, publications in prestigious international academic journals and compatibility with the experimental orientation of the Institute of Experimental Psychology are expected. Furthermore, the ability to connect with research at the Institute and beyond, both within and outside the Faculty, is required, for example with the Centre for Digital Medicine and Forschungszentrum Jülich, including with regard to collaborative research. Experience in academic self-governance is also expected. The Institute of Experimental Psychology also places importance on the use of open science practices. Relevant experience and a corresponding approach to scientific work are required. Teaching experience and evidence of teaching skills are required, as is the ability to teach courses in German. The professorship will teach quantitative methods in both the polyvalent Bachelor's degree programme in Psychology and the general Master's degree programme in Psychology. In addition, teaching in the Master's degree programme will cover the application of complex data analysis techniques to psychological data.

In addition to the general requirements under public service law pursuant to § 36 of the Higher Education Act of North Rhine-Westphalia, appointment requirements include, in particular, teaching aptitude, a particular aptitude for scientific work and additional scientific achievements.

Applications from women are expressly encouraged. Women with equal suitability, ability and professional performance will be given preference unless reasons relating to an individual competing applicant outweigh this preference.

Heinrich Heine University upholds the principle of “Excellence through Diversity”. It has signed the “Diversity Charter” and successfully participated in the Stifterverband's “Shaping Diversity” audit. It is certified as a family-friendly university and has received the European Union's HR Excellence in Research Award.

Applications from suitable persons with severe disabilities and persons with disabilities of equivalent status within the meaning of SGB IX are encouraged.

At Heinrich Heine University Düsseldorf, appointments are generally also made on a part-time basis unless compelling operational reasons preclude this in an individual case. 

Heinrich Heine University Düsseldorf offers Dual Career Support and is a member of the Dual Career Netzwerk Rheinland. Further information is available at www.dualcareer-rheinland.de.

If you have any questions, the Chair of the Appointment Committee, Prof. Dr. Susanne Becker, will be happy to assist you. (sbecker@hhu.de / +49 211 81-14722). For further questions, please contact the following email address: berufungsportalmnf@hhu.de.

Please submit your application digitally with the customary documents (letter of motivation, curriculum vitae, list of all scientific publications, tabulated overview and evidence of competitively secured third-party funding (including fellowships), copies of academic certificates, research proposal (max. 2 pages), teaching proposal (max. 2 pages), list of courses taught) via the HHU appointment portal at https://berufungsportal.hhu.de and complete the information requested there as fully as possible.

Application deadline: 28.10.2026.

Source checked on 2026-10-17 12:39