About this opportunity:
We are looking for a motivated Master's student to investigate how AI agents and data-quality-aware orchestration can reduce the effort and increase the reliability of integration test environment preparation.
Modern orchestration systems depend on configuration data, infrastructure metadata, and environment definitions originating from multiple sources. Inconsistent or low-quality data can lead to orchestration failures, environment-provisioning issues, and increased operational overhead.
This thesis will explore how AI, orchestration, and data management can be combined to create more reliable and autonomous test-environment workflows. The work complements related efforts in AI-driven test automation and supports the LaaS and OAS ambitions.
What you will do:
- Investigate how data quality affects integration test environment preparation and orchestration reliability.
- Develop a data-quality validation framework for configuration data, infrastructure metadata, and environment definitions.
- Explore AI-assisted generation of test environments from available requirements and source data.
- Investigate schema-validation concepts for improving the consistency and reliability of environment data.
- Develop automated environment-readiness checks before test execution.
- Build a proof of concept integrated with relevant orchestration workflows.
- Evaluate the solution in terms of data quality, provisioning reliability, automation effort, and operational overhead.
- Document the findings and provide recommendations for future development and production integration.
The skills you bring:
- You are enrolled in a Master's programme in Computer Science, Software Engineering, Electrical Engineering, or a related field.
- You have programming experience, preferably in Python or a similar language.
- You have a basic understanding of software systems, data management, and automation.
- You are interested in artificial intelligence, orchestration, data quality, and intelligent software systems.
- You have strong analytical and problem-solving skills.
- You have good technical writing and communication skills.
The following are considered a plus:
- Experience with CI/CD, test automation, infrastructure automation, or orchestration platforms.
- Familiarity with schemas, configuration management, metadata, or data-validation techniques.
- Knowledge of large language models, AI agents, data-quality frameworks, or automated reasoning.
- Experience with cloud environments, distributed systems, containers, or Kubernetes.
Skills Required
- Enrollment in a Master’s program in Computer Science, Software Engineering, Electrical Engineering, or a related field
- Programming experience, preferably in Python or a similar language
- Basic understanding of software systems, data management, and automation
- Interest in artificial intelligence, orchestration, data quality, and intelligent software systems
- Strong analytical and problem-solving skills
- Good technical writing and communication skills
- Experience with CI/CD, test automation, infrastructure automation, or orchestration platforms
- Familiarity with schemas, configuration management, metadata, or data-validation techniques
- Knowledge of large language models, AI agents, data-quality frameworks, or automated reasoning
- Experience with cloud environments, distributed systems, containers, or Kubernetes
What the Team is Saying
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What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
