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Heinrich Heine University Düsseldorf

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Professorship in Machine Learning (Computer Science, Artificial Intelligence) at Heinrich Heine University Heinrich Heine University Düsseldorf in Germany

Professorship in Machine Learning (Computer Science, Artificial Intelligence) at Heinrich Heine University

Heinrich Heine University Düsseldorf

Germany

Jan 14, 2026

Keywords

Computer Science
Machine Learning
Information Technology
Deep Learning
Artificial Intelligence
Natural Language Processing
Explainable Ml
Large Language Models

Description

Heinrich Heine University Düsseldorf is inviting applications for a Professorship in Machine Learning (W2 or W1 with tenure track to W2) within the Department of Computer Science. The position focuses on modern machine learning techniques, including Large Language Models, Deep Learning architectures, and Explainable AI, with a strong connection to Natural Language Processing. The successful candidate will be expected to contribute to the Heine Center for Artificial Intelligence and Data Science (HeiCAD) and participate in collaborative research projects. Applicants should have a proven track record in developing machine learning methods and collaborative projects. Teaching responsibilities include delivering courses in Computer Science and Artificial Intelligence. Active involvement in the academic community and interdisciplinary research is highly encouraged. For more information, candidates may contact Prof. Dr. P. Swoboda or the faculty via the provided emails. Applications must be submitted through the HHU appointment portal by January 14, 2026. The position offers a competitive professorial salary according to German public service regulations. This is an excellent opportunity for researchers specializing in Machine Learning, Artificial Intelligence, and related fields to join a leading German university.

Funding

This is a professorship position (W2 or W1 with tenure track to W2) at Heinrich Heine University Düsseldorf. Salary and benefits are according to German public service regulations for professors. No additional funding or stipend information is provided.

How to apply

Submit your application through the HHU appointment portal by January 14, 2026. For further information, contact Prof. Dr. P. Swoboda or the faculty email. Review the official portal for detailed instructions.

Requirements

Applicants must have expertise in modern machine learning techniques such as Large Language Models, Deep Learning architectures, and Explainable AI, with connections to Natural Language Processing. Experience in developing machine learning methods and collaborative projects is required. Active participation in the Heine Center for Artificial Intelligence and Data Science (HeiCAD) is desirable. Teaching experience in Computer Science and Artificial Intelligence is expected.

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