Master Thesis Agentic AI System for a Semiconductor Database

Robert Bosch Group

Renningen

Vor Ort

EUR 13.000 - 18.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

Robert Bosch GmbH in Renningen is offering a Master thesis on building an Agentic AI system for a semiconductor database within Bosch IT infrastructure. The project connects to the Semiconductor Database and trains the agent on its schema and data.

You will investigate translating natural language intent into deterministic database operations and compare autonomous reasoning loops with traditional data science workflows, aiming for robust, data-driven decisions.

Qualifikationen

  • Master studies in Computer Science, Mathematics, Physics or comparable.
  • Experience with Python, ML, SQL, Git and MCP; software development and databases.
  • Independent and open to criticism.
  • On-site presence required.
  • Languages: English very good, German good.

Aufgaben

  • Build an Agentic AI system within Bosch IT infrastructure.
  • Connect to the Semiconductor Database and describe it.
  • Research translating natural language intent into deterministic DB operations.
  • Investigate autonomous reasoning loops vs human-in-the-loop data science workflows.
  • Learn how the agent tests hypotheses by simulating interventions for robust decisions.

Kenntnisse

Python
Machine Learning
Agentic AI
SQL
Git
MCP
Software development
Databases

Ausbildung

Master studies in Computer Science / Mathematics / Physics

Jobbeschreibung

Master Thesis Agentic AI System for a Semiconductor Database
  • Full-time

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!

  • 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.
  • 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 Englishand good in German

Start:according to prior agreement
Duration:6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

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.

Need further information about the job?
Sebastian Becker (Functional Department)
+49 711 811 54463

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