Researcher - Embedded Systems

Area : Faculty IV : School of Science and Technology | Job scope : part‑time | Duration of employment : limited | Posting-ID : 6906

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, Dep. ETI, Embedded Systems, we are looking for a researcher as of the at the following conditions :

• 50% = 19,92 hours
• Pay grade 13 TV‑L
• Limited by

Your tasks

• Development of methods for designing embedded systems based on large language models (LLMs)
• Investigation of retrieval‑augmented generation (RAG) for designing embedded systems without the need for retraining
• Investigation of the use of LLMs to support temporal and spatial resource planning problems
• Comparison with conventional design methods

Your profile

• Completed master’s degree in computer science, mechatronics, or electrical engineering.
• Knowledge of AI / ML methods and frameworks (e.g., PyTorch, TensorFlow).
• Knowledge of LLMs is desirable.
• Basic understanding of embedded systems.
• Familiarity with fault detection, system reliability, or troubleshooting techniques.
• Strong programming skills (C / C++, Python; hardware description languages such as HLS or VHDL are an advantage).
• Motivation to pursue a PhD and contribute to applied AI research.
• Excellent English skills.

Our range of services

• Promotion of own scientific or artistic qualification according to the Wissenschaftszeitvertragsgesetz (act on temporary employment in higher education) (e.g. 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
• Good work‑life balance, for example, through flexible working hours and work location, as well as support with child care
• Extensive personnel development program
• Health management with a wide range of prevention and counseling services