Chair of Learning Technical Systems
In order to fill a fixed-term position in part-time (8 hr/week) April 01, 2026, we are looking for one
Research assistant (WHB) (m/f/x) with a Bachelor's degree
The group conducts core research in artificial intelligence and machine learning, with a primary focus on online decision-making under uncertainty. Our work spans areas such as (inverse, deep, and causal) reinforcement learning, multi-armed bandits, and learning in multi-agent systems involving cooperation, competition, and coordination. We are particularly interested in how intelligent systems can adapt across changing domains and recover from suboptimal or biased decisions through principled approaches to domain adaptation and algorithmic recourse. While our methods are generic and applicable across diverse fields—including medicine, education, and finance—we primarily apply them to engineering and technical systems, such as the Internet of Things, next-generation communication networks, and robotics.
The Ruhr-Universität Bochum is one of Germany's leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum's declared aim.
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