Thesis - LLM-driven automated log parsing and contextual root cause analysis

Thesis position at IAV to improve software testing approach using AI, focusing on LLM-driven automated log parsing and contextual root cause analysis.

Requirements

• Ongoing master's degree in computer science, data science, or a similar field of study
• Good knowledge of at least one programming language (preferably Python)
• Practical experience with at least one deep learning framework (e.g., Tensorflow, Pytorch)
• Theoretical and practical experience with deep learning algorithms as well as basic algorithms and data structures
• German or English skills at at least B2 level

Benefits

• Competitive salary based on collective agreement and pay scale
• Opportunity for professional development and growth
• Diverse and inclusive work environment