Master Thesis: Agentic AI for Secure and Reliable Telecom Operations

Posted 2 Days Ago
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Stockholm, SWE
In-Office
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
We are shaping the future of digital connectivity the world relies on.
The Role
Investigate agentic AI for secure and reliable telecom operations by building a controlled evaluation environment. Compare deterministic, language-model, tool-using, multi-agent, and hybrid architectures across network operations tasks. Evaluate reliability, security, safety, explainability, latency, cost, scalability, observability, and recovery. Design controls for prompt injection, tool misuse, privilege escalation, data leakage, and unsafe plans, then translate findings into architecture and adoption recommendations.
Summary Generated by Built In
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About this opportunity
Telecom networks are becoming more intelligent, automated, and software-defined. Agentic AI could help engineers and operations teams understand network state, investigate incidents, plan actions, and coordinate tools across complex domains. Before these capabilities can be trusted, we need to understand how to design agents that are correct, secure, explainable, observable, and scalable.
Ericsson Innovation Center EMEA is inviting one or two master thesis students to investigate agentic AI for telecom operations. You will compare different agent patterns, including deterministic workflows, probabilistic language-model agents, tool-using agents, multi-agent approaches, and hybrid solutions that combine AI with explicit mathematical models or optimization.
The project is intended to produce both an academic contribution and a tangible evaluation environment that can guide future innovation work.
What you will do
You will select one representative telecom operations problem and build a controlled environment in which alternative agent designs can be evaluated. You may work with a simulator, digital twin, synthetic network, or sandboxed lab environment.
Your work may include, but is not limited to:
  • Defining a benchmark for troubleshooting, configuration recommendation, incident triage, capacity optimization, or another network task.
  • Comparing deterministic automation, language-model agents, multi-agent designs, and hybrid architectures.
  • Investigating how mathematical models, constraints, planning, or optimization can improve agent reliability.
  • Designing security controls for prompt injection, tool misuse, privilege escalation, data leakage, unsafe plans, and cascading failures.
  • Evaluating task success, correctness, constraint violations, safety, latency, cost, explainability, reproducibility, and recovery behavior.
  • Studying human-in-the-loop approval, policy enforcement, auditability, rollback, and observability.
  • Investigating what is required to scale an agent from an innovation prototype to a production-like service.
  • Categorizing failures and translating the results into practical architecture and adoption recommendations

The skills you bring
  • Knowledge in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • Programming experience in Python, Java, Scala, TypeScript, or a similar language.
  • Interest in generative AI, agentic systems, optimization, cybersecurity, distributed systems, or telecom networks.
  • Experience with APIs, containers, evaluation frameworks, or cloud-native development is beneficial.
  • Interest in designing experiments and analyzing quantitative results.
  • Eagerness to learn, challenge assumptions, and communicate findings to both technical and non-technical stakeholders.

Skills Required

  • Currently pursuing a master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Software Engineering, or a related field
  • Programming experience in Python, Java, Scala, TypeScript, or a similar language
  • Interest in generative AI, agentic systems, optimization, cybersecurity, distributed systems, or telecom networks
  • Interest in designing experiments and analyzing quantitative results
  • Experience with APIs, containers, evaluation frameworks, or cloud-native development
  • Eagerness to learn, challenge assumptions, and communicate findings to technical and non-technical stakeholders

What the Team is Saying

Vishal
Mayank
Granville
Sneha
Olga
Emily
Nicole
Sola
Aditi
Ericsson
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Ericsson Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
  • Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
  • Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.

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The Company
HQ: Stockholm
88,000 Employees
Year Founded: 1876

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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