Master's Thesis: AI-Driven Test Data Analytics & Cloud Platforms

Ericsson; Stockholms kommun; On-site; SEK 179,000 - 234,000; Full time

Job summary

Ericsson AVQL invites Master's students to collaborate on a data analytics and quality intelligence thesis. You will analyze large-scale test data from Ericsson product validation, work with data pipelines and analytics platforms, and explore AI/ML techniques to derive actionable insights for engineering decisions.

The role emphasizes cloud-native design, scalable data solutions, and presenting findings to the team.

Qualifications

• Pursuing a Master's degree in Computer Science.
• Strong Python programming experience.
• Good understanding of AI/ML and cloud-native architecture.
• Analytical, structured, and able to work in team or independently.
• Thesis suitable for 2 students.

Responsibilities

• Analyze large-scale verification and test data.
• 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 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.

Skills

Python

AI/ML

Cloud-native

Analytical thinking

Teamwork

Education

Master's in Computer Science

Tools

Python

Job description

Ericsson AVQL invites Master's students to collaborate on a data analytics and quality intelligence thesis. You will analyze large-scale test data from Ericsson product validation, work with data pipelines and analytics platforms, and explore AI/ML techniques to derive actionable insights for engineering decisions.

The role emphasizes cloud-native design, scalable data solutions, and presenting findings to the team.