Master Thesis: Automated Analysis of Production Test Software Monitoring Data

What you will do:

The goal of this thesis is to design and implement an automated analysis and alerting system for Production Test software monitoring data. The system will support developers by identifying anomalies, trends, and statistical relationships across test runs.

Special focus will be on:

• Detecting subtle issues in both failed and passed test cases
• Automating anomaly detection using statistical and AI/ML methods
• Designing a scalable and integration-ready solution for real-world deployment

The thesis will include:

• Exploring and benchmarking statistical and AI/ML techniques for test data analysis
• Evaluating their effectiveness using historical datasets with known anomalies
• Designing and validating a parameter-tuned solution
• Delivering a prototype system with alerting and visualization capabilities

The skills you bring:

• Educational background in Computer Science, Data Science, Electrical Engineering, or similar field.

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?

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.