About this opportunity:
The operation of mobile networks is becoming increasingly autonomous and complex. AI agents are already being introduced into network operations to collect evidence, form diagnostic hypotheses, and recommend corrective actions.
These systems are typically organised as pipelines in which each agent has a defined task. For example, one agent gathers evidence, another reasons about the fault, and a subsequent agent proposes a diagnosis, logs, or a corrective action. When the final output is wrong or uncertain, an important question arises: was the failure caused by the uncertainty of the first agent, an independent failure in the second agent, or an interface between them that lost information?
The fundamental question of this thesis is what the agent and its surrounding platform must log so that a failure can be explained after the event without excessive cost, complexity, or exposure of sensitive network data.
The objective is to identify and experimentally evaluate the minimum logging information required to attribute failures in a selected telecommunications use case. The work corresponds to one or two students, 30 hp each. The location is Stockholm/Kista, and the preferred starting date is early January.
What you will do:
- Conduct a focused literature study on observability in LLM-based multi-agent systems, failure attribution, and error taxonomies.
- Perform a logging-ablation experiment by systematically removing log categories and measuring the effect on root-cause and first-error attribution.
- Analyse the trade-off between attribution value and logging cost, including trace size, latency, privacy, and operational usefulness.
- Propose a minimum sufficient logging profile for telecom agents.
- Validate the proposed profile on a small holdout set or through review with telecommunications subject-matter experts.
- Document the results, limitations, and recommendations for future development.
The skills you bring:
- You are studying Computer Science, Data Science, Computer Engineering, Electrical Engineering, or a related field.
- You have solid Python programming skills.
- You are interested in careful experimental design, observability, and AI systems.
- You have good analytical, problem-solving, and technical writing skills.
The following knowledge or experience is considered a plus:
- Large language models or agent frameworks.
- Network operations or fault management.
- Software testing and failure analysis.
- AI governance, privacy, or responsible AI.
- Statistics, structured logging, or autonomous networks.
Keywords: machine learning, statistics, Python, AI agents, structured logging, failure attribution, and autonomous networks.
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: 791201
Skills Required
- Currently studying Computer Science, Data Science, Computer Engineering, Electrical Engineering, or a related field
- Solid Python programming skills
- Interest in experimental design, observability, and AI systems
- Good analytical and problem-solving skills
- Good technical writing skills
- Knowledge or experience with large language models or agent frameworks
- Knowledge or experience with network operations or fault management
- Knowledge or experience with software testing and failure analysis
- Knowledge or experience with AI governance, privacy, or responsible AI
- Knowledge or experience with statistics, structured logging, or autonomous networks
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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