Andreas Peter

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.

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.