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Technical University of Munich
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4 days ago
PhD Position in Explainable AI and AI for Science at Technical University of Munich and Helmholtz Munich Technical University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 10, 2026
Country
Germany
University
Technical University of Munich

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About this position
PhD position at Technical University of Munich and Helmholtz Munich in the Institute for Explainable Machine Learning / Chair of Interpretable and Reliable Machine Learning.
The project focuses on Building the Foundations of Integrated AI for Science, with research directions in Explainable AI, Multimodal Alignment, Reliable Adaptation, AI for Science, agentic workflows, and uncertainty estimation. The role is aimed at developing trustworthy, interpretable, and adaptable AI systems for scientific use.
Applicants should have a Master’s degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, or a related field. A strong ML background, strong programming skills with modern ML frameworks, interest in explainability/reliability/multimodal learning/foundation models/AI agents, and good communication skills are required. Helpful extras include top-tier ML/CV/NLP publications, experience with biological or medical data, and the ability to work independently in a collaborative setting.
This is a fully funded PhD position with a collaborative environment spanning Helmholtz Munich, TUM, and an international network.
Apply by email with CV, transcripts, degree certificates, research statement, and two references. Priority deadline: 10 Aug 2026, 23:59 CET; applications remain open until filled.
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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