The Fraunhofer Society is seeking a Student Assistant in LLM Security to work on the development and implementation of procedures for the evaluation of the security of LLMs, evaluation of state-of-the-art and experimental procedures for post-hoc explainability of LLMs, and analysis of vulnerabilities in LLMs.
Requirements
- Enrolled student (Computer Science, Data Science, Mathematics, etc.)
- Very good Python knowledge
- Basic understanding of KI/ML mainly in relation to Transformers
- Experience with PyTorch and Transformer architectures is desirable
- Structured, independent work and teamwork
- Well-developed analytical thinking
- Good English skills
Benefits
- Flexible working hours that can be combined with your studies
- An inspiring working environment with modern infrastructure
- The opportunity to gain practical experience and establish valuable contacts in research
- Possibility for future Bachelor's and Master's thesis