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4 data warehouse jobs found in Renningen

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Renningen Stuttgart data warehouse
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Bosch Gruppe
06/10/2026
Full time
Master Thesis Application of Physics-Informed Machine Learning for Grid-Tied Inverter Control
Bosch Gruppe Robert-Bosch-Campus 1, 71272 Renningen, Germany
Tasks As a part of your Master thesis, you will develop a physics-informed current controller for grid-tied inverter control. You will evaluate the linear regulator and the predictive controller as reference points, as well as establish their boundaries. In addition, you will research current AI-based implementations in the literature. Furthermore, you will be responsible for developing a concept to improve the implementation of AI-based black boxes and mitigate their drawbacks in grid-tied inverter applications. Last but not least, you will select an AI-based concept, which may include machine learning, recurrent neural networks or reinforcement learning. If necessary, you will model the system alongside the implemented controller. profile Education:   Master studies in the field of Engineering, Mathematics, Information Technology or comparable Experience and Knowledge:   in the application of AI methods, system modeling and...
Bosch Gruppe
06/10/2026
Full time
Master Thesis Agentic AI System for a Semiconductor Database
Bosch Gruppe Robert-Bosch-Campus 1, 71272 Renningen, Germany
Tasks As part of your Master thesis, you will build an Agentic AI system within the Robert Bosch IT infrastructure. You will connect this system to the Semiconductor Database (DB) and its DB description, as well as train the agent using it. In addition, you will research how effectively the agent can translate natural language intent into deterministic database operations. Furthermore, you will investigate the efficiency and accuracy of Agentic's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Last but not least, you will learn how the agent tests hypotheses against historical data by simulating interventions (eg in manufacturing processes), in order to make robust, data-driven decisions. profile Education:   Master studies in the field of Computer Science, Mathematics, Physics or comparable Experience and Knowledge:   of Python, Machine Learning, Agentic AI, SQL, Git and MCP;...
Bosch Gruppe
06/10/2026
Full time
Mandatory Internship in Automation of Process Development with Agentic AI in Manufacturing
Bosch Gruppe Robert-Bosch-Campus 1, 71272 Renningen, Germany
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description In this internship, you will help to extend a process development toolbox to a wider range of fastening and assembly processes. Our goal is to leverage artificial intelligence to make the toolbox smarter and more efficient. You will test and enhance the toolbox using data from various manufacturing processes. Your task is to build an AI agent to automate and manage data integration workflows. You will also evaluate process data, identify new requirements, and contribute to the ongoing development of the toolbox. You will help us apply and expand a process development toolbox to new and exciting manufacturing processes. The...
Bosch Gruppe
06/10/2026
Full time
PhD - Scalable and Efficient Reinforcement Learning Methods for Physical AI
Bosch Gruppe Robert-Bosch-Campus 1, 71272 Renningen, Germany
Tasks At Bosch Research, we are pioneering the next generation of Physical AI-intelligent systems that can perceive, reason, and act robustly in the real world. From automated driving to robotics, our goal is to develop AI technologies that are not only highly capable but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to generalize reliably to new situations and often require enormous amounts of data and computational resources. For Bosch products, however, AI solutions must deliver strong performance while operating under real-world constraints such as limited compute, energy efficiency, safety, and reliability. In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems. Your research will combine ideas from imitation learning, reinforcement learning, large-scale simulation,...
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