For many years, the Chair for Embedded Systems (CES) has been internationally recognized for its research in embedded systems, resource-aware computing, and security. Many open research challenges in these areas must be addressed to ensure trustworthy, secure, and efficient computing in modern distributed and embedded environments.
With the increasing complexity of connected and decentralized computing systems, ensuring efficiency, security, and transparency has become a key challenge. This is particularly relevant in embedded and resource-constrained environments such as edge computing. Emerging technologies, including blockchain for secure computing, explainable AI (XAI) for system transparency, and machine learning for resource management, offer promising solutions but require further exploration to be effectively deployed in real-world systems. These challenges are especially relevant in the context of next-generation communication networks such as 6G, which demand low-latency, secure, and resource-efficient computing solutions.

IHRE QUALIFIKATION

The ideal candidate (f/m/d) must have a very good Master’s degree (or equivalent) in Computer Science (CS), Electrical Engineering (EE), or a related field, with a specialization in one or more of the following areas:

• Embedded Systems & Resource Management (e.g., real-time computing, energy-efficient architectures, hardware/software co-design).
• Security & Trusted Computing (e.g., blockchain, cryptographic protocols, secure system architectures).
• Machine Learning for Systems (e.g., ML-driven optimization, AI for embedded applications, decision support systems).
• Explainability & Transparency in Computing (e.g., interpretable AI, system auditability, explainable security mechanisms).
• Decentralized and Trusted Computing (e.g., lightweight blockchain security, verifiable computing, distributed trust frameworks).

Additional skills that will be beneficial (but not mandatory) include:

• Experience in Linux environments, programming in C/C++, Python, or knowledge of hardware/software security frameworks.
• Familiarity with system simulators or or cryptographic security techniques.
• Interest in privacy-preserving computing, lightweight consensus mechanisms, or AI explainability methods.

Fluency in written and spoken English is required. The ideal candidate should be highly motivated, capable of working independently, and interested in interdisciplinary research. Strong communication skills are essential for effective collaboration within the research team.

Please refer the Job description for details