Master Thesis work on advanced AI topics in the Telecom Sector (m/f/d)

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Ericsson is seeking Master thesis students to work on advanced AI topics within the telecom sector at their R&D center in Herzogenrath, Germany. You will tackle real engineering challenges, develop prototypes, and benchmark AI approaches in areas like LLM fine-tuning, network observability, and AI agents for automation.

Responsibilities

Be assigned to a thesis topic aligned with your interests, background, and skills, typically running 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.

Requirements

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.
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.

Desired Qualifications

Experience with telecom networks or capacity engineering.
Knowledge in time-series analysis, anomaly detection, or operations research.
Familiarity with embeddings, vector databases, prompt engineering, tool calling, or orchestration frameworks.
Experience with automated testing frameworks or statistical evaluation.
Knowledge of Docker, Spark, cloud platforms, or data protection principles (GDPR).

Benefits

Opportunity to work on cutting-edge AI topics in the telecom sector.
Develop practical skills by building prototypes and delivering tangible results.
Collaborate in a diverse and international research environment.
Gain experience in benchmarking and evaluating AI approaches.

Skills

PythonSQLMachine LearningData AnalysisMathematical ModelingLLMsNLPData PipelinesSoftware TestingIntegrationRAGNetwork ObservabilityData GovernanceData PlatformsTrustworthy AICapacity PlanningAI AgentsTime-series AnalysisAnomaly DetectionOperations ResearchEmbeddingsVector DatabasesPrompt EngineeringTool CallingOrchestration FrameworksAutomated TestingStatistical EvaluationDockerSparkCloud PlatformsGDPR

#AI#Artificial Intelligence#Large Language Models#LLM#Telecom#Networks#Machine Learning#Data Science#Data Engineering#Software Engineering#Thesis#Master Thesis

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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