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Johannes Gutenberg Universität Mainz

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PhD Position in Explainable Artificial Intelligence (XAI) Johannes Gutenberg University Mainz in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 18, 2026

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Country

Germany

University

Johannes Gutenberg Universität Mainz

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Natural Language Processing
Python Programming
Explainable Ai
Machine learning

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About this position

PhD position in Explainable Artificial Intelligence (XAI) at Johannes Gutenberg University Mainz (JGU)

The XplaiNLP group in the Business Informatics program of Faculty 03 (Law and Economics) is seeking a motivated academic staff member for a 4-year PhD position in Explainable AI. The role is based in Mainz, Germany, is paid at EG 13 TV-L, and starts immediately.

The successful candidate will conduct independent research on interpretable/explainable machine learning with the goal of earning a doctorate. Research tasks include designing, implementing, and evaluating XAI approaches and publishing results in international conferences and academic journals. The position also includes teaching support in machine learning/XAI and supervision assistance for bachelor’s and master’s theses.

Applicants should have an excellent completed Master’s degree or equivalent, preferably in Computer Science or a closely related field, ideally with a focus on Machine Learning, Artificial Intelligence, or Explainable AI. Strong knowledge of explainability methods such as interpretable ML, post-hoc explainability, concept-based explanations, and causal inference is expected. Very good programming skills, especially in Python, and experience with ML frameworks such as PyTorch or TensorFlow are required. Very good English (C1) and sufficient German for teaching (B1 desirable) are also requested.

Application deadline: 18 August 2026. Apply online through the university job portal and upload a cover letter, CV, transcripts/certificates, a writing sample (Master’s thesis and any publications, max. 40 pages), and optionally a GitHub/portfolio link plus a bullet-point list of programming and XAI skills.

Contact: Prof. Vera Schmitt, XplaiNLP group, Johannes Gutenberg University Mainz.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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