About this opportunity:
We are looking for a motivated Master's student to investigate how AI agents can improve large-scale test automation by analysing failed test executions, determining probable root causes, and recommending or performing corrective actions.
In large-scale test automation systems, substantial engineering time is spent analysing failed test runs. The challenge is to understand failures quickly enough to maintain delivery velocity. Many failures are repetitive and may be caused by infrastructure issues, environment drift, configuration defects, known flaky tests, or dependency problems.
This thesis will explore how AI-enabled automation platforms can reduce manual failure analysis and improve test automation productivity. The work is connected to the RCE AI Transformation workstream and OAS ownership of test automation, and reflects current industry trends in intelligent software engineering.
What you will do:
- Investigate approaches for analysing failed test executions and identifying probable root causes.
- Develop a failure classification engine for recurring test failures.
- Design and evaluate AI-assisted root-cause analysis methods.
- Develop failure-clustering methods to identify related or repeated failures.
- Generate remediation recommendations based on failure patterns and available context.
- Optionally, develop a self-healing prototype for selected failure types.
- Define an evaluation methodology and test the proposed solution on relevant test data.
- Analyse limitations, risks, and opportunities for integrating AI into test automation workflows.
- Document the findings and present recommendations for future development.
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 testing, test automation, and debugging.
- You are interested in artificial intelligence, machine learning, data analysis, or 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 test automation frameworks, CI/CD pipelines, or software quality engineering.
- Familiarity with log analysis, failure classification, clustering, or root-cause analysis.
- Knowledge of large language models, AI agents, retrieval-augmented generation, or anomaly detection.
- Experience with cloud environments, distributed systems, or infrastructure automation.
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 testing, test automation, and debugging
- Interest in artificial intelligence, machine learning, data analysis, or intelligent software systems
- Strong analytical and problem-solving skills
- Good technical writing and communication skills
- Experience with test automation frameworks, CI/CD pipelines, or software quality engineering
- Familiarity with log analysis, failure classification, clustering, or root-cause analysis
- Knowledge of large language models, AI agents, retrieval-augmented generation, or anomaly detection
- Experience with cloud environments, distributed systems, or infrastructure automation
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
Ericsson Insights
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.
