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Helmholtz Center for Information Security (CISPA)

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PhD and Postdoc Positions in Machine Learning, LLM Alignment, Agentic AI, and AI Safety at CRISTAL Lab CISPA Helmholtz Center for Information Security in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Fully funded positions with competitive salaries, comprehensive healthcare benefits, and access to robust GPU compute clusters.

Deadline

Dec 15, 2026

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Country

Germany

University

Helmholtz Center for Information Security (CISPA)

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Keywords

Computer Science
Information Technology
Mathematics
Robustness Analysis
Statistics
Continual Learning
ML

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About this position

CRISTAL Lab at the CISPA Helmholtz Center for Information Security is hiring PhD students, postdocs, and interns in machine learning, LLM alignment, agentic AI, and AI safety. The lab, led by Cristina Garbacea, focuses on the foundational science behind safe, reliable, and context-aware AI systems, including principled alignment methods, robustness and safety guarantees, autonomous systems with long-horizon planning, continual learning, and benchmarking/evaluation.

This opportunity is aimed at highly motivated researchers with strong quantitative, algorithmic, or systems foundations in ML and AI. The post emphasizes a founding-team environment with direct mentorship, research freedom, and access to substantial GPU compute. Positions are described as fully funded with competitive salaries and healthcare benefits.

PhD applications are reviewed on a rolling basis, with early review for the 2027 intake beginning on 2026-10-15 and priority review through 2026-12-15. Postdoc and intern positions are open continuously with flexible start dates year-round.

Interested candidates should apply via the official portal and consult the CRISTAL Lab website for application guidelines.

Funding details

Fully funded positions with competitive salaries, comprehensive healthcare benefits, and access to robust GPU compute clusters.

What's required

Applicants should have strong quantitative, algorithmic, or systems foundations in machine learning and artificial intelligence. The post targets highly motivated researchers for PhD, postdoc, and intern roles; no specific degree, GPA, or language-test requirement is stated. Candidates interested in LLM alignment, AI safety and robustness, agentic AI, continual learning, benchmarking, and evaluation are especially encouraged.

How to apply

Apply through the official application portal and review the lab application guidelines on the CRISTAL Lab website. PhD applications are reviewed on a rolling basis, with early review for the 2027 intake beginning on 2026-10-15 and priority review through 2026-12-15. Postdoc and intern positions are open continuously with flexible start dates.

More information can be found here

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