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In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for a

Research associate (m/f/x)

The group conducts fundamental research in artificial intelligence and machine learning. Our work spans areas such as multi-armed bandits, transfer learning, federated learning, and learning in multi-agent systems involving cooperation, competition, and coordination. While our methods are generic and applicable across diverse fields, we primarily focus on engineering and technical applications, including the Internet of Things, communication networks, and robotics.

Scope: full-time
Duration: fixed-term, 30.06.2028 (end of project)
Start: at the earliest possible date
Apply by: 2026-03-23

Your tasks:

The main task is to conduct high-quality and independent research on collaborative learning in wireless networks. The research addresses fundamental challenges related to efficiency, adaptability, and system performance. The objective is to develop learning algorithms and to analyze their behavior with respect to relevant performance metrics. The results are expected to be published in leading IEEE journals and/or major machine learning conferences.

Your profile:

• An excellent Ph.D. or M.Sc. degree with a strong publication record in Computer Science (Machine Learning and Artificial Intelligence) or Electrical Engineering (Signal Processing, Information Theory, Wireless Communications)
• A solid mathematical background
• Strong programming skills, especially Python
• Excellent command of English, both written and spoken.

https://jobs.ruhr-uni-bochum.de/jobposting/077b18a0658dc6f8d867dad135263ff5fedee4e10?ref=AfA