Master Thesis - Multi-Agent Systems
EricssonSweden15 days ago
Full-timeOther
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Join our Team
About this opportunity:
Are you passionate about AI and advanced problem-solving in complex systems? This master’s thesis offers the opportunity to design and evaluate an intelligent AI agent for autonomous Root Cause Analysis (RCA) in telecom networks. You will investigate how Large Language Models (LLMs) can combine structured and unstructured data sources—such as logs, KPIs, alarms, configuration data, design documents, and historical incidents—to reason like an experienced engineer. The aim is not only to detect and classify fault symptoms, but also to trace their origins and explain the causal chain.
What you will do:
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 771308
About this opportunity:
Are you passionate about AI and advanced problem-solving in complex systems? This master’s thesis offers the opportunity to design and evaluate an intelligent AI agent for autonomous Root Cause Analysis (RCA) in telecom networks. You will investigate how Large Language Models (LLMs) can combine structured and unstructured data sources—such as logs, KPIs, alarms, configuration data, design documents, and historical incidents—to reason like an experienced engineer. The aim is not only to detect and classify fault symptoms, but also to trace their origins and explain the causal chain.
What you will do:
- Research and design an LLM-based framework for fault analysis in telecom systems
- Experiment with retrieval-augmented reasoning, iterative hypothesis generation, and interpretable step-by-step RCA workflows
- Integrate data from technical documentation, source code, architecture diagrams, and historical RCA cases
- Apply modular AI agent techniques using frameworks such as LangGraph, CrewAI, and AutoGen
- Perform fine-tuning or embedding creation from company-specific corpora
- Deliver a proof-of-concept AI agent that can diagnose complex system issues autonomously
- Currently pursuing a Master’s degree in Computer Science, AI, Data Science or related discipline
- Strong programming skills in Python and JS, and familiarity with LLMs or agent-based AI frameworks
- Interest in system reasoning, automated fault diagnosis, and explainable AI
- Ability to work effectively with both structured and unstructured data (e.g., logs, documents, code)
- Experience with tools like LangChain, LangGraph, HuggingFace, AWS Bedrock is a plus
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 771308
Key Skills
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