진학프로석·박사 채용 접수 플랫폼

At University of Siegen, Faculty IV "School of Science and Technology", ETI, Embedded Systems, we are looking for a researcher as of the Feb. 1st, 2026 (PhD position) as part of the reserach project BANNER.

Your tasks:

• • Develop AI algorithms for real-time fault detection, fault classification, and failure-mode prediction in distributed charging and energy-management environments as part of the BANNER research project
• • Investigate fault-tolerance and fault-recovery mechanisms for decentralized edge AI hardware/software.
• • Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions.
• • Build and test a scenario generator for hardware- and software-level failure modes (e.g., bit flips, memory contention, node unresponsiveness).
• • Support the integration and demonstration of the developed AI techniques within the BANNER project for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency

Your profile:

• • Master’s degree in computer science, electrical engineering, mechatronics, or a related field.
• • Knowledge of AI/ML methods and frameworks (e.g., PyTorch, TensorFlow).
• • Basic understanding of embedded systems and communication protocols (TCP, UDP; TSN desirable).
• • Familiarity with fault detection, system reliability, or fault-mitigation techniques.
• • Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus).
• • Motivation to pursue a PhD and contribute to applied AI research.
• • Excellent English communication skills.

Our range of services:

• • Promotion of own scientific or artistic qualification according to the Wissenschaftszeitvertragsgesetz [act on temporary employment in higher education] (i.e. PhD)
• • Diverse opportunities to take on responsibility and make a visible contribution in the research and teaching environment
• • A modern understanding of leadership and collaboration
• • Extensive personnel development program
• • Health management with a wide range of prevention and counseling services

We look forward to receiving your application by 31.12.2025.

Please apply via our job portal (https://jobs.uni-siegen.de/job/Researcher-57076/1274979901/).