Master Thesis Agentic AI System for a Semiconductor Database

Bosch; Renningen; Vor Ort; EUR 11.000 - 17.000; Vollzeit

Zusammenfassung

Robert Bosch GmbH in Renningen invites applications for a Master thesis project to build an Agentic AI system within Bosch IT infrastructure. You will connect this system to the Semiconductor Database and train the agent using it, exploring how natural language intent translates into deterministic DB operations.

The work includes evaluating autonomous reasoning loops versus traditional data science workflows, and learning how to test hypotheses against historical data to enable robust,

Qualifikationen

• Master studies in CS, mathematics, physics or comparable.
• Experience with Python, machine learning, SQL, Git and MCP; software development and databases.
• Independent and open to criticism.

Aufgaben

• Build an Agentic AI system within Bosch IT infrastructure.
• Connect the system to the Semiconductor Database and train it.
• Research translating natural language intent into deterministic DB operations.
• Investigate autonomous reasoning loops vs human-in-the-loop workflows.
• Learn to test hypotheses against historical data for robust decisions.

Kenntnisse

Python

Machine Learning

Agentic AI

SQL

Git

MCP

Ausbildung

Master studies in Computer Science, Mathematics, Physics or comparable

Jobbeschreibung

Company Description

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

• 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 (e.g. in manufacturing processes), in order to make robust, data-driven decisions.

Qualifications

• 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; experience in software development, as well as databases
• Personality and Working Practice: you are an independent individual who is open to criticism
• Work Routine: your on-site presence is required
• Languages: very good in English and good in German

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.