Master Thesis: AI-Assisted Verification and Data-Driven Migration for Ericsson Common Test System

Technology, Data & Digital · Data, AI & Analytics · Data Science · Software Engineering · Machine Learning

In short

This Master Thesis focuses on developing an AI-assisted framework for verifying and migrating legacy test systems to Ericsson's Common Test System (CTS). You will explore automation, data analytics, and AI to accelerate the transition while ensuring quality and identifying migration priorities and risks.

Responsibilities

Design and evaluate an automated framework for comparing legacy and CTS implementations.
Execute equivalent test scenarios and automatically compare outputs.
Detect and classify differences between implementations.
Explore AI-assisted techniques for anomaly detection and result classification.
Develop a confidence-scoring approach for migration readiness.
Create data-driven methods to prioritize migration candidates.
Develop methods to measure migration progress and identify rollout risks.
Explore concepts for dashboard visualization and CI/CD integration.
Evaluate proposed solutions using Ericsson migration data.

Requirements

Pursuing an MSc degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or a related field.
Strong programming skills in Python and/or Java.
Interest in software testing, verification, test automation, and software quality engineering.
Knowledge of CI/CD, DevOps, data analytics, and/or machine learning.
Interest in dashboard development, data visualization, and turning complex data into actionable insights.
Analytical, structured, and able to work independently on complex technical problems.

Desired Qualifications

Knowledge of migration planning, anomaly detection, or continuous validation is an advantage.

Benefits

Outstanding opportunity to use your skills and imagination to push boundaries.
Be challenged in a team of diverse innovators.
Work on solutions to some of the world's toughest problems.
Gain experience with cutting-edge technology at Ericsson.

Skills

PythonJavaCI/CDDevOpsData AnalyticsMachine LearningData VisualizationArtificial Intelligence

#AI#Data Science#Test Automation#Software Testing#Thesis#Ericsson

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