Researcher - Embedded Systems

Researcher - Embedded Systems Universität Siegen•Siegen, DE

Stellenbeschreibung

Area: Faculty IV: School of Science and Technology | Job scope: part-time | Duration of employment : limited | Posting-ID: 6934

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

The researcher position is part of an interdisciplinary research environment focusing on behavior-based artificial intelligence. The research combines health-related AI systems and automotive AI with a strong focus on human-in-the-loop learning, adaptive models, and experience-based data generation.

Your tasks:

• Design and development of AI models that adaptively evolve through new experiences
• Investigation of self-supervised and semi-supervised learning approaches
• Implementation of human-in-the-loop learning pipelines
• Development and evaluation of AI systems for healthcare and/or automotive applications
• Collection, processing, and analysis of real-world data, in particular behavioral and sensor data
• Publication of research results in international journals and at scientific conferences
• Support for teaching and supervision of students (teaching obligation: 2 hours per week per semester)

Your profile:

• Master's degree (or equivalent) in computer science, electrical engineering, mechatronics, artificial intelligence, or a comparable field of study
• Strong interest in machine learning and AI research
• Experience with deep learning models (e.g., transformers, CNNs, RNNs)
• Good programming skills in Python (experience with PyTorch or TensorFlow is an advantage)
• Interest in behavioral modeling, adaptive systems, or cognitively inspired AI approaches
• High motivation to work on interdisciplinary research questions
• Very good written and spoken English skills (German skills are an advantage but not essential)
• Ability to work independently and strong teamwork 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. habilitation)
• 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