Andreas Peter
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PhD Position in Applied Cryptography and Trustworthy AI (fully-funded) University of Oldenburg in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Nov 8, 2026
Country
Germany
University
University of Oldenburg

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About this position
The University of Oldenburg is advertising a fully funded PhD position in the Safety-Security-Interaction group within the Department of Computer Science. The project sits at the intersection of applied cryptography, privacy-enhancing technologies, and trustworthy AI, with an explicit application focus on healthcare systems.
Research topics may include homomorphic encryption, secure multi-party computation, differential privacy, secure collaborative machine learning, robustness, explainability, fairness, and auditability. The position is designed for a first-stage researcher who wants to contribute to security- and privacy-oriented work that bridges cryptography and machine learning.
The position is supervised by Prof. Dr. Andreas Peter and Dr. Federico Mazzone. The group emphasizes close supervision, a young and growing research environment, and the opportunity to shape the PhD project around the candidate’s interests. The post also highlights collaboration possibilities with academic and non-academic partners.
Applicants should hold a Master’s degree or equivalent in Computer Science, Mathematics, or a related field. A strong background in cybersecurity and machine learning is required, along with good programming skills and excellent English.
This is a full-time temporary appointment running until 30 September 2030, with a flexible start date to be discussed with the successful applicant. The position includes support for conference travel and international networking, and the group aims for publications in leading international conferences and journals in security, privacy, cryptography, and machine learning.
The application deadline is 8 November 2026. More information and application details are available on the University of Oldenburg job page.
Funding details
Available
What's required
Master’s degree or equivalent in Computer Science, Mathematics, or a related field; strong background in cybersecurity and machine learning; good programming skills; excellent English level.
How to apply
Apply via the official job page at https://uol.de/job1332en. Review the full position details there and submit the application materials before the deadline. Use the provided contact email for questions if needed.
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