Master Thesis in Safety and Security of Large Language Models
Renningen, Germany
Bosch Group
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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.
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Job Description
- You will investigate the existing technology for automated LLM security assessments, including research publications and open source implementations.
- Furthermore, you will identify points of improvements and new research questions in relation to prior art.
- In addition, you will develop methodology for automated security testing of LLM applications.
- Finally, you will implement and experiment with the proposed solution and apply the developed method to Bosch data.
Qualifications
- Education: Master studies in the field of Computer Science, Mathematics, Electrical Engineering or comparable
- Experience and Knowledge: in software engineering and machine learning
- Personality and Working Practice: a team-minded and analytical individual with a structured way of working
- Languages: fluent in English
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?
Irina Nicolae (Functional Department)
+49 152 22104835
#LI-DNI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering LLMs Machine Learning Mathematics Open Source Research Security Spark Testing
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