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Helmholtz Munich

Fully Funded PhD in Trustworthy AI for Science at Helmholtz Munich and Technical University of Munich Helmholtz Munich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 10, 2026

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Country

Germany

University

Helmholtz Munich

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Keywords

Computer Science
Electrical Engineering
Biology
Mathematics
Adaptation
Explainable Ai
Statistics
Machine learning

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About this position

Fully funded PhD opportunity at Helmholtz Munich in collaboration with the Technical University of Munich (EML Munich). The project is centered on trustworthy AI systems for science, with research directions including explainable AI, vision-language models (VLMs), reliable adaptation, and agentic workflows.

This is a PhD opening rather than a scholarship announcement. The post indicates the position is fully funded and gives a priority deadline of 10 August 2026. The work location is in Germany, based on the institutions named in the post.

The post mentions Prof. Zeynep Akata in connection with the opening. No email address, detailed eligibility criteria, or application portal URL is provided in the text shown, so applicants should use the linked post/application details to find the full instructions.

Ideal candidates will likely have a strong background or interest in computer science, machine learning, and related quantitative methods. The post does not specify language requirements, GPA thresholds, or prior degree requirements, so those should be checked on the official application page.

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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