Postdoctoral Researcher

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. ResponsibilitiesDevelop 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).