Master Thesis: Test Data Analytics and Data Platform Engineering

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About this opportunity:

AVQL is Ericsson's strategic test data analytics and quality intelligence platform, enabling engineering organizations across R&D to collect, process, analyze and visualize large-scale verification data.

What you will do:

-  Analyze large-scale verification and test data generated from Ericsson product validation activities.
- Work with data pipelines, analytics platforms and quality assessment systems.
- Investigate AI and Machine Learning techniques to extract insights from test execution data.
- Explore automated quality assessment, anomaly detection and release confidence estimation.
- Develop and evaluate data-driven approaches supporting engineering decision-making.
- Contribute to scalable data platform solutions handling millions of test results and measurements.
- Design, prototype and validate analytical models and cloud-native software solutions.
- Present findings and recommendations.

The skills you bring:

- You are pursuing a Master's degree in Computer Science.
- You have a solid experience of Python programming language.'
- You have a strong understanding of AI, ML, Cloud-native architecture.
- You are analytical, structured, systematic and able to work in team or independently. 
- This thesis is suitable for 2 students