Andreas Peter
3 months ago
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4-year PhD Position in Cryptography and Trustworthy AI (fully-funded) University of Oldenburg in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Germany
University
University of Oldenburg

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About this position
The University of Oldenburg is offering a fully-funded 4-year PhD position in the Safety-Security-Interaction group within the Department of Computer Science. This opportunity is supervised by Prof. Dr. Andreas Peter and Dr. Federico Mazzone, and focuses on cutting-edge research in cryptography, privacy-enhancing technologies, and trustworthy artificial intelligence, particularly as applied to healthcare systems.
Possible research topics include homomorphic encryption, secure multi-party computation, differential privacy, secure collaborative machine learning, robustness, explainability, fairness, and auditability. The position aims to contribute to the advancement of security, privacy, cryptography, and machine learning, with the goal of publishing at leading international conferences and journals.
The research environment is young and dynamic, offering close supervision and opportunities for collaboration with both academic and non-academic partners. Candidates will have room to shape their PhD project according to their interests and will receive full support for conference travel and international networking.
Applicants must have a Master’s degree or equivalent in Computer Science, Mathematics, or a related field, with a strong background in cybersecurity and machine learning. Good programming skills and excellent English proficiency are essential. The start date is flexible and can be discussed with the successful candidate.
To apply, submit your application via the University of Oldenburg job portal before the deadline of 31 July 2026. For further information, visit the group’s academic page or contact Dr. Federico Mazzone directly. This is an excellent opportunity for motivated students seeking to advance their expertise in cryptography and trustworthy AI within a supportive and innovative research environment.
Funding details
Available
What's required
Applicants must 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 proficiency. Candidates should be motivated to publish at leading international conferences and journals.
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