About this opportunity:
Artificial Intelligence is transforming how software is developed, tested, and maintained. At the same time, modern mobile networks are becoming increasingly complex, generating large amounts of engineering data from customer deployments, verification activities, simulations, and software development processes.
Cloud RAN Layer 1 (CR L1) is one of the most performance-critical software domains within Ericsson's Radio Access Network portfolio. When a problem is discovered, engineers often need to analyze Trouble Reports (TRs), logs, traces, simulation results, software changes, and technical documentation to identify the root cause.
This investigation process can be time-consuming and heavily dependent on expert knowledge.
The objective of this thesis is to explore how modern AI technologies can assist engineers by finding relevant historical cases, identifying likely affected subsystems, and recommending investigation paths for new Trouble Reports.
What you will do:
The objective of this thesis is to design, implement, and evaluate an AI-assisted investigation framework for Cloud RAN Layer 1.
The proposed solution should be capable of:• Analyzing new Trouble Reports• Identifying likely affected software subsystems• Retrieving similar historical Trouble Reports and fixes• Generating root-cause hypotheses• Recommending investigation steps• Presenting supporting evidence for its conclusions
Depending on the selected approach, the work may involve technologies such as:• Large Language Models (LLMs)• Retrieval-Augmented Generation (RAG)• Semantic Search• Knowledge Graphs• Machine Learning and Data Analytics
The skills you bring:
- MSc student in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Electrical Engineering, Telecommunications, or similar
- Proficiency in Python and C++
- Strong analytical and problem-solving skills
- Experience with vector databases, knowledge graphs, or AI agents
- Knowledge of Retrieval-Augmented Generation (RAG), semantic search, or information retrieval
- Knowledge of wireless communications, 5G, or telecommunications systems
- Ability to work independently and communicate technical findings effectively
- Good written and spoken English.
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: 791748
Skills Required
- Currently pursuing an MSc in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Electrical Engineering, Telecommunications, or a similar field.
- Proficiency in Python and C++.
- Strong analytical and problem-solving skills.
- Experience with vector databases, knowledge graphs, or AI agents.
- Knowledge of Retrieval-Augmented Generation, semantic search, or information retrieval.
- Knowledge of wireless communications, 5G, or telecommunications systems.
- Ability to work independently and communicate technical findings effectively.
- Good written and spoken English.
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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