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Master Thesis: AI-Assisted Root Cause Analysis for Cloud RAN
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Stockholm, Schweden
A master thesis in Stockholm to design and evaluate an AI-assisted investigation framework for Ericsson's Cloud RAN Layer 1 Trouble Reports. The aim is to help engineers find similar past cases and recommend investigation paths.
Responsibilities
- ▹Analyse new Trouble Reports
- ▹Identify likely affected software subsystems
- ▹Retrieve similar historical Trouble Reports and fixes
- ▹Generate root-cause hypotheses
- ▹Recommend investigation steps
- ▹Present supporting evidence for conclusions
- ▹Design, implement and evaluate the AI-assisted framework, depending on the approach using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, knowledge graphs, machine learning and data analytics
Requirements
- ▹MSc student in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Electrical Engineering, Telecommunications or similar
- ▹Proficiency in Python and C++
- ▹Strong analytical and problem-solving skills
- ▹Good written and spoken English
Nice to have
- ▹Experience with vector databases, knowledge graphs or AI agents
- ▹Knowledge of Retrieval-Augmented Generation (RAG), semantic search or information retrieval
- ▹Knowledge of wireless communications, 5G or telecommunications systems
Soft skills
Ability to work independentlyAbility to communicate technical findings effectively
Languages: Angol: jó írásban és szóban
Education: MSc-hallgató számítástechnika, mesterséges intelligencia, szoftvertechnológia, data science, villamosmérnöki, távközlési vagy hasonló szakon
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