Researcher (m/f/d) – AI-Enhanced Streaming Data Systems | Researcher (m/f/d) – AI-Enhanced Streaming Data Systems

Job Summary

As a Researcher at the Database Systems Chair of Ruhr-Universität Bochum, you will join a new research group dedicated to pioneering AI-enhanced streaming data systems. Your day-to-day work involves developing learning-based methods to augment or replace classical components in modern stream processing engines, with a focus on cost modeling, resource allocation, and runtime adaptation. You will explore the integration of Machine Learning and Large Language Models (LLMs) into streaming pipelines and implement experimental prototypes. This position is highly attractive for those aiming for an academic or high-level R&D career, as it offers the opportunity to publish in top-tier international venues like SIGMOD, VLDB, and NeurIPS. You will work in a collaborative environment focusing on practical systems research, contributing to the next generation of multimodal data processing while potentially participating in university teaching activities.