Postdoctoral Researcher in Quantum-Secure Federated GenAI

Postdoctoral Researcher in Quantum-Secure Federated GenAI

University of Turku

Turku, Finland

€ 3700 - € 4600 per month

Job description

Contemporary AI-driven cybersecurity frameworks rely on centralized architectures that lack transparency, explainability, and protection against emerging quantum threats. As cyber-physical threats evolve, current MLOps pipelines fail to provide the self-healing, traceable, and quantum-resilient defense required for regulated, cross-border sectors. We will address these critical "trust gaps" by introducing a quantum-secure, federated GenAI framework that unifies threat detection, remediation, and compliance within a verifiable ML pipeline. As a postdoctoral researcher on this project, you will help bridge the divide between GenAI and verifiable security to deliver:

• Quantum-Secure Intelligence: Safeguarding distributed model training through a post-quantum federated learning layer employing lattice-based cryptography (Kyber, Dilithium) and differential privacy;
• Verifiable SecureMLOps: Integrating self-healing detection, policy-bounded reinforcement learning, and "compliance-as-code" to ensure continuous adaptability across cloud, edge, and OT environments;
• Rigorous Adversarial Validation: Utilizing digital twin technology in our Adversarial Defence & Validation Lab to stress-test AI against sophisticated attack vectors, including evasion, poisoning, and data leakage.

Responsibilities

• Develop highly efficient and secure GenAI;
• Collaborate closely with top-tier European universities and industrial partners;
• Participate in project implementation and reporting activities;
• Contribute to academic life by supervising PhD, MSc and Bachelor students, and assisting in teaching activities;
• Engage in training opportunities including proposal writing, high-impact scientific publishing, and collaborative research with international teams.

Who we are looking for

Requirements

• PhD degree in Computer Science, or a related field;
• Strong knowledge of machine learning and cybersecurity;
• Strong publication record in a relevant field;
• Excellent analytical and problem-solving skills;
• Interest in collaborative research with both academia and industry;
• Good communication skills in English (written and spoken).