Master's Thesis: What Should an AI Agent Log for Failure Attribution

Stack

Responsibilities

• ▹Conduct a focused literature study on observability in LLM-based multi-agent systems, failure attribution and error taxonomies
• ▹Perform a logging-ablation experiment by systematically removing log categories and measuring the effect on root-cause and first-error attribution
• ▹Analyse the trade-off between attribution value and logging cost, including trace size, latency, privacy and operational usefulness
• ▹Propose a minimum sufficient logging profile for telecom agents
• ▹Validate the profile on a small holdout set or through review with telecommunications subject-matter experts
• ▹Document the results, limitations and recommendations for future development

Requirements

• ▹Studying Computer Science, Data Science, Computer Engineering, Electrical Engineering or a related field
• ▹Solid Python programming skills
• ▹Interest in careful experimental design, observability and AI systems
• ▹Good analytical, problem-solving and technical writing skills

Nice to have

• ▹Large language models or agent frameworks
• ▹Network operations or fault management
• ▹Software testing and failure analysis
• ▹AI governance, privacy or responsible AI
• ▹Statistics, structured logging or autonomous networks

Soft skills

About the company

Ericsson is a team of diverse innovators and an equal opportunity employer that welcomes applicants from all backgrounds.