Johannes Gutenberg Universität Mainz
2 months ago
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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
Paid according to EG 13 TV-L; fixed-term employment for 4 years. The position serves the purpose of academic qualification (doctorate).
Deadline
Expired
Country
Germany
University
Johannes Gutenberg Universität Mainz
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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
Paid according to EG 13 TV-L; fixed-term employment for 4 years. The position serves the purpose of academic qualification (doctorate).
What's required
Applicants need an excellent completed scientific university degree (Master's or equivalent), preferably in Computer Science or a closely related field, ideally with a focus on Machine Learning, Artificial Intelligence, or Explainable AI (XAI). Strong knowledge of machine learning and explainability methods is required, including interpretable machine learning, post-hoc explainability, concept-based explanations, and causal inference. Very good programming skills, especially in Python, and experience with common ML frameworks such as PyTorch or TensorFlow are expected. University teaching experience appropriate to career stage is an advantage. Very good English skills at least C1 level and sufficient German skills to teach in German (B1 desirable) are required, along with initiative, responsibility, communication, organizational, and teamwork skills.
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