Postdoctoral Researcher in Quantum-Secure Federated GenAI

Turun yliopisto; Turku; On-site; EUR 42,000 - 54,000; Full time

Job summary

Turun yliopisto in Turku, Finland, invites applications for a postdoctoral researcher position focused on quantum-secure, federated GenAI frameworks for cyber-physical security. You will bridge GenAI and verifiable security, contributing to threat detection, remediation, and compliance across cloud, edge, and OT environments.

The role involves collaborating with European universities and industrial partners, supervising students, and engaging in teaching activities, proposal writing, and

Qualifications

• PhD degree in Computer Science or related field required.
• Strong knowledge of machine learning and cybersecurity.
• Strong publication record in a relevant field.
• Excellent analytical and problem-solving skills.
• Good English communication (written and spoken).

Responsibilities

• Develop highly efficient and secure GenAI systems.
• Collaborate with European universities and industrial partners.
• Participate in project implementation and reporting activities.
• Supervise PhD, MSc and Bachelor students and assist in teaching activities.
• Engage in proposal writing and high-impact scientific publishing.

Skills

GenAI knowledge

Machine Learning

Cybersecurity

Analytical skills

Academic writing

Education

PhD in Computer Science or related field

Job description

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). PhD in Computer Science or related field, Strong ML and cybersecurity knowledge, Strong publication record, Excellent analytical and problem-solving skills, Good English communication