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relAI Konrad Zuse School of Excellence in Reliable AI

PhD Positions in Reliable AI, Machine Learning, and Data Science at Zuse School relAI Konrad Zuse School of Excellence in Reliable AI in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Germany

University

relAI Konrad Zuse School of Excellence in Reliable AI

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Keywords

Computer Science
Data Science
Education
Mathematics
Artificial Intelligence
Network Security
Data Privacy
Medical Science
Healthcare Utilization
Robotics
Machine learning

About this position

The Konrad Zuse School of Excellence in Reliable AI (relAI) is now accepting applications for its 2026 PhD positions. This highly innovative program is designed to train future generations of AI experts, focusing on the end-to-end development of reliable AI systems. The relAI program welcomes top international candidates with a strong academic background in computer science, mathematics, engineering, natural sciences, or related fields such as data science, machine learning, and artificial intelligence.

Research areas at relAI include mathematical and algorithmic foundations, algorithmic decision-making, medicine and healthcare, robotics and interacting systems, and learning and education. The program emphasizes key aspects of reliable AI, including safety, security, privacy, and responsibility. Applicants should demonstrate a genuine interest in these topics and possess certified proficiency in English.

relAI offers a collaborative and interdisciplinary environment, providing opportunities to work on cutting-edge research projects that address the challenges of building trustworthy AI systems. The school is committed to educating the next generation of leaders in AI, equipping them with the skills and knowledge necessary to advance the field responsibly.

To apply, candidates should prepare their academic credentials and proof of English proficiency, and submit their application through the official relAI application portal by 13 January 2026. For more information and to access the application form, visit the provided link.

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.

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