The Database Systems Chair at Ruhr-Universität Bochum (RUB) is establishing a new research group focusing on learned and AI-enhanced counterparts for streaming data systems, including multimodal streaming workloads. We are seeking motivated researchers (m/f/d) to explore learning-based methods that augment or replace classical components in modern stream processing engines, with a strong focus on practical systems research. * Research on learned components for streaming data systems, such as * Exploring the use of machine learning and, where appropriate, large language models (LLMs) to support system optimization, configuration, or semantic processing in streaming pipelines. * Publishing research results in leading international data management and systems venues such as SIGMOD, VLDB, EDBT, ICDE or AI conferences such as NeurIPS, AAAI, ICML, ICLR.
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