2 jobs found in Renningen

Tasks As part of your master's 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 description, and train the agent accordingly. Furthermore, you will investigate how effectively the agent can translate natural language intent into deterministic database operations. You will also analyze the efficiency and accuracy of the agentic system's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Finally, you will learn how the agent tests hypotheses using historical data by simulating interventions (e.g., in manufacturing processes) to make robust, data-driven decisions. profile Education:   Master's degree in computer science, mathematics, physics or a comparable qualification Experience and skills:   Knowledge of Python, Machine Learning, Agentic AI, SQL, Git and MCP; experience in software...

Tasks At Bosch Research, we are driving the next generation of physical AI – intelligent systems that can perceive the real world, reason, and act robustly. From automated driving to robotics, our goal is to develop AI technologies that are not only powerful but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to reliably generalize to new situations and often require enormous amounts of data and significant computing resources. For Bosch products, however, AI solutions must also deliver strong performance under real-world conditions – such as limited computing power, high energy efficiency, safety, and reliability. In this doctoral project, you will explore novel approaches to developing the next generation of efficient autonomous decision-making systems. Your research combines ideas from imitation learning, reinforcement learning, large-scale simulation,...