Master Thesis: AI-Assisted Verification and Data-Driven Migration for Ericsson Common Test System
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About this opportunity:
Ericsson is consolidating legacy test environments, including NGTE and RVC, into a unified Common Test System (CTS). This transformation aims to reduce complexity, improve development efficiency, and establish a common way of working across products, sites, and organizations.
A key challenge is ensuring that new CTS capabilities behave consistently with their legacy counterparts. Today, validation often depends on manual comparisons and expert judgment. At the same time, the migration involves hundreds of functions, workflows, and integrations, making it challenging to prioritize migration candidates, assess readiness, and track progress.
This thesis will explore how automation, data analytics, and AI can accelerate the CTS transition while maintaining confidence, quality, and delivery speed.
What you will do:
- Design and evaluate an automated framework for comparing legacy NGTE/RVC implementations with CTS implementations.
- Execute equivalent test scenarios and automatically compare outputs and behavior.
- Detect and classify differences, distinguishing expected variations from potential defects.
- Explore AI-assisted techniques for anomaly detection, pattern recognition, and result classification.
- Develop a confidence-scoring approach for assessing migration readiness.
- Create data-driven methods to prioritize migration candidates based on risk, complexity, dependencies, and business value.
- Develop ways to measure migration progress, identify rollout risks and bottlenecks, and provide actionable insights to stakeholders.
- Explore concepts for dashboard visualization and CI/CD integration to support continuous validation.
- Evaluate the proposed solutions using relevant Ericsson migration data and provide recommendations for future CTS rollout and migration planning.
The skills you bring:
- You are pursuing an MSc degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or a related field.
- You have strong programming skills in Python and/or Java.
- You have an interest in software testing, verification, test automation, and software quality engineering.
- You have knowledge of CI/CD, DevOps, data analytics, and/or machine learning.
- You are interested in dashboard development, data visualization, and turning complex data into actionable insights.
- You are analytical, structured, and able to work independently on a complex technical problem.
- Knowledge of migration planning, anomaly detection, or continuous validation is an advantage.
Why join Ericsson?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: 790663