Full S-Professor (W3) in “Explainable AI” in combination with the position of a Head of Researc[...]

European Commission; Deutschland; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A prominent research institution in Germany is seeking a Full S-Professor in Explainable AI. This role involves leadership of a research unit in Explainable AI, responsibilities in teaching, and participation in cooperative research initiatives. Applicants should have a strong track record in AI methods and research group management, promoting diversity and inclusion in their work.

Qualifikationen

• Strong background in the foundations of explainable AI or systems-related aspects.
• Experience in leading research groups and managing projects.
• Strong teaching skills.

Aufgaben

• Lead the research unit on Explainable AI.
• Engage in international collaborations.
• Participate in teaching within the Computer Science department.

Kenntnisse

Methods for deep explanation

Interpretable and explainable machine learning

Trustworthy AI

Adaptability and robustness for AI techniques

Commonsense reasoning

Transparency and fairness of AI systems

Ausbildung

Professorial appointment requirements

Jobbeschreibung

Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science Researcher Profile Leading Researcher (R4) Positions Other Positions Country Germany Application Deadline 23 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PR/009/25 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Department of Computer Science at Humboldt-Universität zu Berlin and the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI, jointly invite applications for the position of a

Full S-Professor (W3) in “Explainable AI”

at Humboldt-Unversität zu Berlin in combination with the position of a

Head of Research Unit “Explainable AI”

at the Fraunhofer Heinrich Hertz Institute.

The position will be filled at the earliest possible date.

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

(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.

Please send your application until 23rd Sept 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 .