About this opportunity:
Ericsson SW products are developed using Free and Open-Source Software (FOSS). To use these components safely and responsibly, teams need accurate, complete, current, and traceable information about component identity, versions, dependencies, licenses, vulnerabilities, and provenance.
This thesis will investigate how to improve FOSS metadata and build reliable reference data for software vetting and introduction analysis. You will identify common data-quality issues and develop measurable methods to reconcile, enrich, and assess information from multiple sources. The work will consider, compare, how statistical, graph-based, machine-learning, and AI-assisted techniques can support trustworthy decisions without hiding uncertainty or replacing expert review.
What you will do:
- Define a FOSS metadata model and measurable data-quality criteria, such as correctness, completeness, consistency, freshness, and traceability.
- Analyze representative records to identify errors, missing or conflicting information, duplicates, and false positives or negatives.
- Investigate methods for normalizing component identities and versions, resolving records, analyzing dependencies, tracking provenance, and scoring confidence.
- Develop a methodology for creating or maintaining a high-quality reference dataset, including expert review and updates over time.
- Build and evaluate a proof of concept against a baseline using measures such as precision, recall, coverage, confidence, and review effort.
- Provide recommendations for improving automated FOSS vetting and supporting secure, compliant software supply chains.
The skills you bring:
- You are pursuing a Master's degree in Computer Science, Software Engineering, Data Science, Statistics, or a related field.
- You are interested in data quality, analytics, statistics, machine learning, software supply-chain security, or FOSS.
- You are curious about empirical evaluation and how reliable data can support explainable, auditable decisions.
- Experience with Python, SQL, graph data, package ecosystems, Git, CI/CD, or cloud-native software is beneficial, but not required.
- You are analytical, systematic, and able to collaborate on a shared research objective while taking ownership of your contribution.
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.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 792087
Skills Required
- Pursuing a Master’s degree in Computer Science, Software Engineering, Data Science, Statistics, or a related field
- Interest in data quality, analytics, statistics, machine learning, software supply-chain security, or FOSS
- Analytical and systematic working style
- Ability to collaborate on a shared research objective
- Ability to take ownership of an individual contribution
- Experience with Python
- Experience with SQL
- Experience with graph data
- Experience with package ecosystems
- Experience with Git
- Experience with CI/CD
- Experience with cloud-native software
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
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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.
