Master Thesis AI Energy arbitrate in RBS

Posted 7 Hours Ago
Be an Early Applicant
8 Locations
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
Conduct a master’s thesis investigating AI/ML algorithms for energy arbitrage and energy efficiency in radio base stations. Responsibilities include reviewing telecommunications literature, modeling network entities and metrics, applying lightweight and energy-aware optimization methods, and evaluating prototypes while maintaining quality of service. The role involves developing end-to-end concepts using Python and machine learning frameworks, with opportunities to propose novel research ideas.
Summary Generated by Built In
Join our Team
Ericsson Overview
Ericsson is a world-leading provider of telecommunications equipment and services to mobile and fixed network operators. Over 1,000 networks in more than 180 countries use Ericsson equipment, and more than 40 percent of the world's mobile traffic passes through Ericsson networks. Using innovation to empower people, business and society, Ericsson is working towards Networked Society: A world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet's greatest challenges.
We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team.
Position summary
New generation networks will enable AI/ML based explorations in the system to enable energy arbitrage to operate more efficiently. The high precision of AI algorithms can provide several benefits for telecom networks enabling this new functionality in network, that will serve and provide new revenue streams for operators.
In this study, an AI-based algorithms will be investigated to prioritize energy efficiency recommendations, and smart energy service without sacrificing Quality of service. The new services are being constructed in different ways while at the same time enable the potential for energy savings in Radio Base Station. By utilizing lightweight architecture and energy-aware optimization, it allows us not only to lower power costs but also to improve operational efficiency in telecom network.
The thesis is suitable for one student and would involve the following steps (can be suited adjusted to research interest of the candidate):
  • Literature review: Identifying relevant concepts and algorithms for telecommunications.
  • Enable a network view of all entities to secure right metrics.
  • Apply: Suitable AI/ML algorithms for the purpuse and use case, consider all levels of network.
  • Evaluation and test: Obtained model for the considered use case

Qualifications
We are looking for a highly motivated student who seeks challenging research work with the freedom to propose and develop new ideas. To be successful in this thesis work, the candidate would need the following:
  • MSc studies in Computer Science, Mathematics, Physics, Engineering Fields or similar areas.
  • Excellent programming skills in Python.
  • Good knowledge of concepts in machine learning (including deep learning) and technics.
  • Experience with machine learning libraries such as TensorFlow, Keras, PyTorch, Scikit-Learn, Spark, etc.
  • Knowledge of docker containers, orchestration systems, and telecommunications is a bonus.
  • Like to build end-to-end prototypes and concepts.
  • Be fluent in English

Available soon at ericsson.com/careers
Contact Person: Aneta Vulgarakis [email protected]
Supervision: Lackis Eleftheriadis [email protected] ; Oleg Gorbatov [email protected]

Skills Required

  • Currently pursuing an MSc in Computer Science, Mathematics, Physics, Engineering, or a similar field
  • Excellent programming skills in Python
  • Good knowledge of machine learning, including deep learning
  • Experience with machine learning libraries such as TensorFlow, Keras, PyTorch, Scikit-Learn, or Spark
  • Motivation to conduct challenging research and develop new ideas
  • Ability or interest in building end-to-end prototypes and concepts
  • Knowledge of Docker containers, orchestration systems, or telecommunications
  • Fluency in English

What the Team is Saying

Vishal
Mayank
Granville
Sneha
Olga
Emily
Nicole
Sola
Aditi
Ericsson
Ericsson

Ericsson Compensation & Benefits Highlights

  • Healthcare Strength U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
  • Retirement Support Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
  • Parental & Family Support U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.

Ericsson Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

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.

Typical time on-site: Flexible
Company Office Image
HQEricsson HQ - Kista, Sweden
Yokohama Office
Mexico City - Mexico Head Office
Indaiatuba-SP 5G Smart Factory
Athlone Software Campus
Austin ASIC Design Center
Beijing - China Headquarters
Bellevue Office
Bengaluru Hub
Boise - Ericsson Enterprise Wireless Solutions (formerly Cradlepoint) Headquarters
Bucharest Main Site
Budapest - Ericsson House
Company Office Image
Chennai Hub
Gurugram Hub - Ericsson India Global Services (Delhi NCR)
Company Office Image
Gurgaon Head Office - Ericsson India (Delhi NCR)
Irvine Office
Ottawa R&D Site
Kolkata Hub
Krakow R&D Center
Company Office Image
Lewisville 5G Smart Factory
Łódź R&D Site
Montreal AI & R&D Hub
Company Office Image
Morristown Office
Nanjing R&D & Manufacturing Hub
Noida Hub (Delhi NCR)
Overland Park Office
Plano Office - US Headquarters
Pune Hub
Company Office Image
Santa Clara D-15 Innovation Center
São Paulo - Brazil Main Office
Tokyo Head Office
Learn more

Similar Jobs

Ericsson Logo Ericsson

Entry Level: Radio Product Integrator

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Lund, SWE
88000 Employees

Ericsson Logo Ericsson

Master thesis Physical AI Cloud-Controlled Robots

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
8 Locations
88000 Employees

Ericsson Logo Ericsson

Master thesis Optimization of Baseband

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
8 Locations
88000 Employees

Ericsson Logo Ericsson

Master thesis Thermal Cycling of Screw Joints

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
8 Locations
88000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account