Master Thesis Embedded Pentesting with AI Agents

Bosch Group; Renningen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company is looking for a Master's student to contribute to research in AI-driven cybersecurity, focusing on innovative embedded system pentesting solutions. The role involves designing a modular testbench and implementing protocols for AI interactions with hardware. Ideal candidates will have a strong academic background in Computer Science, experience with security embedded systems, and excellent programming skills, specifically in Python.

Qualifikationen

• Excellent academic performance in Master studies.
• Highly motivated to learn and possess an independent working style.
• Very good in English or German.

Aufgaben

• Advance research in AI-driven cybersecurity through innovative solutions for embedded system pentesting.
• Design and implement a modular testbench architecture.
• Implement a Model Context Protocol (MCP) for seamless communication between AI agents and embedded systems.

Kenntnisse

Programming skills in Python

Knowledge of basic pentesting methods

Background in security and/or embedded systems

Ausbildung

Master studies in Computer Science 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 GmbHis looking forward to your application!

Job Description

• During your Master thesis, you will advance research in AI-driven cybersecurity by developing innovative solutions for embedded system pentesting using large language model agents.
• You will design and implement a modular testbench architecture that enables AI agents to interact with embedded hardware through standardized interfaces, including power supplies, communication protocols (CAN, Ethernet, UART, SPI, I2C) as well as monitoring equipment.
• Furthermore, you will implement a Model Context Protocol (MCP) server to create seamless communication between AI agents and embedded hardware components, enabling autonomous security assessments.
• Additionally, you will develop a specialized AI pentesting agent capable of device reconnaissance, vulnerability identification, and exploit development, while documenting findings for interdisciplinary security teams.
• Finally, you will evaluate your solution through comprehensive testing against real embedded devices from automotive and IoT domains, comparing AI-driven approaches with traditional pentesting methodologies to validate effectiveness and identify areas for improvement.

Qualifications

• Education: Master studies in the field of Computer Science or comparable with excellent academic performance
• Experience and Knowledge : background in security and/or embedded systems; knowledge of basic pentesting methods; programming skills in Python
• Personality and Working Practice: you are highly motivated to learn and have an independent working style
• Languages: very good in English or German

Additional Information

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?
Dr. Max Eisele (Functional Department)
[phone]
Dr. Christopher Huth (Functional Department)
[phone]

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