About this opportunity:
Cloud-native 5G deployments run Network Functions (NFs) as Kubernetes-managed microservices on shared infrastructure, and as RAN components and core NFs migrate to centralised cloud environments, their energy consumption, resource utilisation, and traffic patterns become critical inputs to orchestration decisions such as scaling, scheduling, and workload consolidation. Current orchestration controllers act reactively - after load changes have already occurred - leading to over-provisioning and energy waste. Accurate short-to-medium horizon forecasts of energy usage, CPU/memory utilisation, and traffic volume at the NF and pod level are therefore essential for proactive, energy-aware management of cloud-native 5G networks.
What you will do:
This thesis will investigate the adaptation of time series foundation models (e.g., TimesFM, TTM) to cloud-native 5G NF telemetry metrics through domain-specific fine-tuning, with the goal of producing accurate and calibrated forecasts that can serve as inputs to energy-efficient orchestration systems. The work will encompass data collection from lab and testbed environments, systematic evaluation of foundation models in zero-shot and few-shot settings, and potentially parameter-efficient fine-tuning techniques (LoRA, adapters). The expected outcome may include:
- a benchmarking study comparing time series foundation models against classical baselines on NF energy, resource usage, and/or traffic prediction;
- a fine-tuning methodology for adapting foundation models to cloud-native 5G NF telemetry metrics;
- an analysis of model generalisation across NF types, prediction targets, and training data regimes; and
- recommendations for integrating foundation model-based forecasting into energy-aware network orchestration pipelines.
The skills you bring:
- Background in machine learning, computer science, data science, or a related field.
- Strong understanding of deep learning and time series modelling; experience with PyTorch is advantageous.
- Proficiency in Python and familiarity with modern ML frameworks (Hugging Face, GluonTS, or similar).
- Interest in cloud-native systems (Kubernetes, microservices) and sustainable computing.
- Ability to conduct technical literature reviews, design experiments, analyse results, and document findings.
- Strong analytical and problem-solving skills.
- Ability to work independently while communicating effectively in an international research environment.
- Good written and spoken English.
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: Sweden (SE) || Stockholm
Req ID: 791022
Skills Required
- Background in machine learning, computer science, data science, or a related field
- Strong understanding of deep learning and time series modelling
- Proficiency in Python
- Familiarity with modern machine learning frameworks such as Hugging Face or GluonTS
- Experience with PyTorch
- Interest in cloud-native systems, Kubernetes, microservices, and sustainable computing
- Ability to conduct technical literature reviews, design experiments, analyse results, and document findings
- Strong analytical and problem-solving skills
- Ability to work independently and communicate effectively in an international research environment
- Good written and spoken English
What the Team is Saying
.png)
.png)
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.
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.
Gallery
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
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.
