Possible Master thesis topics:
- Fine-Tuning and Adapting Large Language Models for Telecom Networks - Building Telecom-Specialized AI: Fine-Tuning LLMs for Network Engineering
- AI-Powered Observability of Telecom Networks - Making Telecom Networks Explain Themselves: AI-Driven Network Observability
- Intelligent Data Governance and Management for AI - Trustworthy Data for AI: Intelligent Data Governance in Telecom
- AI-Ready Telecom Data Lakes - From Data Lake to AI Knowledge Hub: Enabling LLMs with Telecom Data
- Testing and Verification of LLM-Based Systems - Can We Trust AI? Automated Testing and Verification of LLMs for Telecom Applications
- AI for Automated Network Dimensioning and Capacity Planning - Self-Planning Networks: AI-Based Network Dimensioning and Capacity Forecasting
- AI Agents for Telecom Network Engineering Automation - From Copilots to Autonomous Workflows: AI Agents for Telecom Network Operations
You'll get the opportunity to
- Be assigned to one of the thesis topics above, aligned with your interests, background, and skills. Master theses usually run for six to eight months.
- Tackle a real telecom engineering challenge and deliver a working prototype, framework, or reference architecture.
- Benchmark AI approaches against baselines using measurable indicators such as accuracy, robustness, and efficiency.
- Create practical impact, from improved anomaly detection and root-cause analysis and AI-ready data to actionable capacity recommendations and safely automated workflows.
- Collaborate with experienced researchers and other students in a truly international team.
Key skills
- Master's student in Computer Science, AI, Data Science/Engineering, Electrical Engineering, Telecommunications, Software Engineering, Information Systems, Digital Transformation, Mechanical Engineering, Operations Research, or a related field.
- Python skills (plus SQL for data-oriented topics).
- Foundations in machine learning, data analysis, or mathematical modeling, and basic knowledge of LLMs, NLP, data pipelines, or software testing and integration, depending on the topic.
- Strong interest in at least one thesis area: LLM fine-tuning and RAG, network observability, data governance, data platforms, trustworthy AI, capacity planning, or AI agents.
- An analytical, curious mindset, structured problem-solving, awareness of reliability and security, and clear communication of results.
Nice to have (not mandatory)
- Telecom networks or capacity engineering.
- Time-series analysis, anomaly detection, or operations research.
- Embeddings, vector databases, prompt engineering, tool calling, or orchestration frameworks.
- Automated testing frameworks or statistical evaluation.
- Docker, Spark, cloud platforms, or data protection principles (GDPR).
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: Germany (DE) || Herzogenrath
Req ID: 793208
Skills Required
- Current Master's student in Computer Science, AI, Data Science or Engineering, Electrical Engineering, Telecommunications, Software Engineering, Information Systems, Digital Transformation, Mechanical Engineering, Operations Research, or a related field
- Python programming skills
- SQL skills for data-oriented thesis topics
- Foundations in machine learning, data analysis, or mathematical modeling
- Basic knowledge of LLMs, NLP, data pipelines, or software testing and integration, depending on the topic
- Strong interest in at least one proposed thesis area
- Analytical, curious mindset and structured problem-solving skills
- Awareness of reliability and security
- Clear communication of results
- Knowledge of telecom networks or capacity engineering
- Experience with time-series analysis, anomaly detection, or operations research
- Experience with embeddings, vector databases, prompt engineering, tool calling, or orchestration frameworks
- Experience with automated testing frameworks or statistical evaluation
- Experience with Docker, Spark, cloud platforms, or data protection principles such as GDPR
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Retirement Support — An automatic employer contribution of 3% plus up to 4% in matching is outlined for U.S. employees, enabling a potential 7% total employer contribution subject to plan rules. Feedback suggests this is a standout element of the package.
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Leave & Time Off Breadth — The U.S. package specifies at least 15 vacation days for new hires, up to 3 personal days, 11 holidays, and 80 hours of sick time, with flexibility noted in taking time away. Feedback suggests time‑off breadth and usability are strong points.
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Parental & Family Support — Published materials describe up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay, subject to eligibility. Feedback suggests these policies provide meaningful support for families.
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.
