Area: Faculty IV: School of Science and Technology | Job scope: part-time | Duration of employment: limited | Posting-ID: 6887
The University of Siegen is a modern university with an international orientation and a focus on interdisciplinary research. It currently has around 14,000 students and covers a range of research fields from the humanities, social and economic sciences to natural sciences, engineering and life sciences. With over 2,000 employees, the university is one of the largest employers in the region and offers a unique environment for teaching, study, research and knowledge transfer.
We seek:
In the Faculty IV: School of Science and Technology, ETI, Embedded Systems, we are looking for a researcher as of the 01.02.2026 at the following conditions (PhD position):
* 50% = 19,92 hours
* Pay grade 13 TV-L
* limited 30.11.2028
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
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