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Master Thesis: AI-Assisted Root Cause Analysis for Cloud RAN

Sonstige • Vor Ort • Praktikum • Schweden 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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