Full S-Professor (W3) in “Explainable AI” + Head of Research Unit “Explainable AI

We are looking for a researcher with an excellent track record in methods, models and algorithms for explainable and trustworthy artificial intelligence (AI). Applicants could have a strong background in the foundations of explainable AI or a focus on systems-related aspects and applications. Specific topics of interest include, for example:

• methods for deep explanation and explainable features
• interpretable and explainable machine learning
• explainability in large generative models
• trustworthy AI
• adaptability and robustness for AI techniques
• commonsense reasoning and decision making
• applications of explainable AI
• transparency and fairness of AI systems

The position includes teaching, with a reduced load, at the Department of Computer Science in the relevant study programs.

In addition to scientific excellence, applicants should have experience in leading a research group, international collaborations, managing scientific projects, and acquiring third-party funding. Strong teaching skills are highly important. Candidates are expected to participate in cooperative research initiatives, for instance, as part of Research Training Groups, Collaborative Research Centers, or centers such as BIFOLD.

The applicants must meet the legal requirements for professorial appointments in accordance with § 100 of the “Berliner Hochschulgesetz”.

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Researchers from abroad are welcome to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply.

Applications should include
(1) a cover letter,
(2) a CV,
(3) a teaching concept including a summary of teaching experience (max. 3 pages),
(4) a research concept describing the candidate's current research program and proposed research (max. 3 pages),
(5) up to 3 selected publications and working papers, including short explanations why these were selected,
(6) a statement (max. 1 page) identifying previous and future contributions to equity, diversity and inclusion, and the candidate´s ability to work in culturally diverse groups,
(7) copies of certificates, and
(8) contact details of up to three references.

For questions regarding this position please contact Prof. Verena Hafner (verena.hafner@hu-berlin.de).

Please send your application until 23rd septembre, 2025, referencing the job ID PR/009/25 to Humboldt-Universität zu Berlin, Dean of Faculty of Mathematics and Natural Sciences, Prof. Dr. List-Kratochvil, Unter den Linden 6, 10099 Berlin, Germany or upload them preferably in a PDF file at https://www2.mathnat.hu-berlin.de/erklbki. Since we will not return your documents, please submit copies in the application only.

Data protection information regarding the processing of your personal data in the context of the advertisement and selection procedure can be found on the homepage of HU Berlin: https://hu.berlin/DSGVO.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.