Master Thesis: AI-assisted Early Analysis of Power-Saving Features on Ericsson Radios

Posted 2 Days Ago
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Lund, 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
Master’s thesis exploring how AI and Large Language Models can analyze power-saving features in Ericsson 4G and 5G radios. The work includes studying radio behavior, developing AI methods to recognize and reason about multiple energy-performance features, detecting anomalies, and evaluating AI-assisted workflows for earlier issue identification and faster feature development.
Summary Generated by Built In
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About this opportunity
How can artificial intelligence help us build more energy-efficient mobile networks?
Reducing energy consumption is one of the most important challenges in modern telecommunications. Ericsson continuously develops power-saving features that enable 4G and 5G networks to reduce energy usage while maintaining high performance. As the number and complexity of these features increase, understanding their behavior and identifying potential issues early becomes increasingly challenging.
In this thesis, you will explore how Large Language Models (LLMs) and AI techniques can be used to understand, recognize, and analyze power-saving features in Ericsson radios. By combining knowledge of radio systems, Energy Performance features, and AI, you will investigate how early assessments can be automated and enhanced. The results can help engineers identify problems sooner, accelerate feature development, and contribute to more sustainable mobile networks with lower environmental impact.
What you will do
You will study Energy Performance and power-saving features used in Ericsson radios and investigate how AI can support their analysis. The work will focus on developing concepts and methods that enable earlier understanding of radio behavior and faster identification of potential issues.
You will have freedom to define areas of exploration within the project. These could include, but are not limited to:
  • Understanding the fundamentals of Energy Performance and power-saving features in 4G and 5G networks.
  • Investigating how radio behavior reflects the operation of different power-saving features.
  • Exploring how Large Language Models and other AI techniques can be applied to engineering analysis.
  • Developing methods to train or guide AI models to recognize and reason about multiple power-saving features.
  • Analyzing radio data and feature behavior to identify anomalies or potential issues at an early stage.
  • Evaluating how AI-assisted analysis can improve current ways of working.
  • Proposing new workflows and methodologies that leverage AI to accelerate Energy Performance feature assessment and development.

The skills you bring
  • Knowledge in Computer Science, Electrical Engineering, Telecommunications, Data Science, or a related field.
  • Experience in at least one programming language.
  • Interest in artificial intelligence, machine learning, and data analysis.
  • Curiosity about wireless communication systems and sustainable technology.
  • Eagerness to learn how modern mobile networks can reduce energy consumption while maintaining performance.
  • Bonus: knowledge of 4G/5G systems, Large Language Models, machine learning, data analytics, or software development.

Skills Required

  • Knowledge in Computer Science, Electrical Engineering, Telecommunications, Data Science, or a related field
  • Experience with at least one programming language
  • Interest in artificial intelligence, machine learning, and data analysis
  • Curiosity about wireless communication systems and sustainable technology
  • Eagerness to learn about energy-efficient modern mobile networks
  • Knowledge of 4G or 5G systems
  • Knowledge of Large Language Models
  • Knowledge of machine learning or data analytics
  • Software development experience

What the Team is Saying

Vishal
Mayank
Granville
Sneha
Olga
Emily
Nicole
Sola
Aditi
Ericsson
Ericsson

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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