PhD Position in Applied Cryptography and Trustworthy AI
Fully-funded PhD position focusing on applied cryptography, privacy-enhancing technologies, and trustworthy AI for healthcare systems.
Best for:Best for Master's graduates in Computer Science or Mathematics with a strong background in cybersecurity and machine learning.
Overview
The University of Oldenburg invites applications for a fully-funded PhD position within the Safety-Security-Interaction group in the Department of Computer Science. Supervised by Prof. Dr. Andreas Peter and Dr. Federico Mazzone, the successful candidate will research applied cryptography, privacy-enhancing technologies, and trustworthy AI with a primary focus on healthcare applications. The role offers full support for international conference travel, collaborative networking, and flexible project development tailored to the candidate's interests. The expected outcome is groundbreaking research published in top-tier international security and machine learning venues.
What you'll do
- Conduct cutting-edge research in applied cryptography, privacy-enhancing technologies, and trustworthy AI for healthcare systems
- Develop novel privacy-preserving mechanisms such as homomorphic encryption and secure multi-party computation
- Collaborate with academic and non-academic partners on secure collaborative machine learning initiatives
- Prepare and author research manuscripts targeting top-tier international conferences and journals in security, privacy, and machine learning
- Participate in international academic conferences, workshops, and networking events
- Contribute to the academic life and collaborative environment of the Safety-Security-Interaction research group
Requirements
Degree required: Master's degree or equivalent in Computer Science, Mathematics, or a related field
Degree offered: PhD
Language: English; excellent proficiency level
Instruction: English
Publications: Goal of publishing at leading international conferences and journals
- Strong background in cybersecurity and cryptography
- Solid understanding of machine learning principles and methodologies
- Good programming and software development skills
- Ability to conduct independent academic research and problem-solving
- Hold a recognized Master's degree or equivalent in a relevant discipline
Funding & terms
How to apply
Deadline: 2026-11-08 (Europe/Berlin)
Interested candidates should review the detailed job description and submission guidelines on the official university application portal. Submit all required application materials through the provided external link before the specified deadline.
- CV
- Master's degree certificate and transcripts
Contact
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