The Job

Master thesis: Federated Learning for Telecom Foundation Models

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Artificial Intelligence

Join for updates

In short

Ericsson Research is seeking a Master's student for a thesis project on Federated Learning for Telecom Foundation Models. This role involves reviewing research, evaluating approaches, developing novel techniques, and collaborating with a research team to advance AI-native networks. The project is based in Stockholm during Spring 2027.

Responsibilities

  • Review research on foundation models, federated learning, and telecom applications.
  • Evaluate existing approaches and establish a baseline.
  • Extend state-of-the-art methods and develop novel techniques for collaborative training and model adaptation.
  • Define research directions together with your supervisor.
  • Collaborate with the research team to ensure technical feasibility.
  • Present your findings through regular discussions and final thesis documentation.

Requirements

  • Master’s student with most coursework completed and strong academic performance.
  • Proficiency in Python and hands-on experience with machine learning frameworks such as PyTorch.
  • Strong programming, debugging, analytical, and problem-solving skills, including effective use of generative AI development tools.
  • Excellent written and spoken English and the ability to work effectively in an international team.
  • An independent, curious, and research-oriented mindset, with the ability to learn quickly and identify problems and solutions.

Desired Qualifications

  • Knowledge of distributed systems, federated learning, large language models, or foundation models is beneficial.
  • Knowledge of telecommunications networks is preferred.

Benefits

  • Mentorship from senior researchers.
  • Access to industry tools and datasets.
  • Opportunity to support Ericsson’s work towards an AI-native network.
  • Outstanding results may contribute to scientific publications, patent applications, and future Ericsson research activities.
#AI#Machine Learning#Foundation Models#Federated Learning#Telecom#Master Thesis
Ericsson Logo

Company

Ericsson

Job Posted

2 days ago

Employment Type

Internship

WorkMode

On Site

Experience Level

Student

Locations

Stockholm, Sweden

Qualification

Master

Applicants

Be an early applicant