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

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Artificial Intelligence

In short

This Master Thesis focuses on developing an AI-assisted framework for root cause analysis in Ericsson's Cloud RAN Layer 1. The project involves analyzing Trouble Reports, identifying affected subsystems, and recommending investigation paths using AI technologies like LLMs and RAG.

Responsibilities

Design, implement, and evaluate an AI-assisted investigation framework for Cloud RAN Layer 1.
Analyze 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.

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.
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.
Ability to work independently and communicate technical findings effectively.
Good written and spoken English.

Desired Qualifications

Experience with Large Language Models (LLMs).
Familiarity with Machine Learning and Data Analytics.

Benefits

Outstanding opportunity to use skills and imagination to push the boundaries of what's possible.
Be challenged, but not alone.
Join a team of diverse innovators.
Work on crafting what comes next.

Skills

PythonC++vector databasesknowledge graphsAI agentsRetrieval-Augmented Generation (RAG)semantic searchinformation retrievalwireless communications5Gtelecommunications systemsLarge Language Models (LLMs)

#AI#Cloud RAN#Root Cause Analysis#Master Thesis#Ericsson

About Ericsson

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