Master Thesis: Test Data Analytics and Data Platform Engineering

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

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.

Join our Team

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

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.

Primary country and city:

Sweden (SE) || Stockholm