PhD Student / Research Assistant (f/m/d) Secure and Efficient Computing in Emerging Systems

We seek a highly motivated researcher (f/m/d) to contribute to our ongoing efforts in secure, explainable, and efficient computing through research in one or more of the following areas:

• Embedded systems and resource-aware computing – developing techniques for efficient execution, adaptive resource management, and performance optimization.
• Security and trust in computing systems – designing methods for data integrity, secure execution, and verification in distributed and embedded architectures.
• Blockchain for trusted computing – investigating lightweight, decentralized security mechanisms for data protection, model verification, and tamper resistance.
• Explainability and transparency in computing – developing techniques for interpretable and auditable system behavior in machine learning-driven and automated decision-making systems.
• Machine learning for systems optimization – leveraging ML to enhance energy efficiency, real-time performance, and dynamic workload adaptation.
• Efficient and secure computing in 6G networks – exploring low-latency and secure computing frameworks that integrate blockchain, explainability, and resource-aware AI techniques for future networked systems.

The selected candidate will work in a collaborative and interdisciplinary research environment, contributing to both fundamental research and practical system implementations.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.