About this opportunity:
In the field of electronics, hardware components exhibit a wide range of behaviors that can vary significantly under different conditions impacting their performance or operation accuracy and efficiency. These deviations are commonly known as hardware imperfections. Modeling the behavior of these devices is often a complex and challenging task. Our hardware engineering unit at Ericsson holds a keen interest in modeling and predicting the behavior of such devices.
At the forefront of this endeavor, state-of-the-art techniques such as neural networks have gained recognition for their ability to accurately capture and predict the diverse behaviors exhibited by such devices. By leveraging the power of neural networks, engineers and researchers are able to develop models that effectively characterize often unpredictable nature of these devices.
Accurate and reliable models can bring insight to the ways that we could mitigate these behaviors or avoid the circumstances where these behaviours happens paving the way for more advanced and reliable radio systems.
What you will do:
During this thesis work you have the opportunity to work with realistic data coming from our testbeds to study the actual hardware imperfections. The thesis work will be organized around one or two type of hardware imperfection. The end goal of the work is to develop one or more models and compare the performance of these models with the existing ones toward the following steps:
- Investigate the state of the art research covering different types of models including conventional and neural network based models.
- Suggest models suitable for the imperfection under study, implement it in our existing simulation framework and compare the performance and the complexity of the model with existing ones.
- Perform a short analytical study on the performance of the model providing insights to the imperfection.
The skills you bring:
- This project aims at students in electrical engineering, computer science, machine learning or similar.
- Background or experience with signal processing, deep learning (e.g., convolutional neural networks, Long-short term memory, transformer based) and radio frequency components is preferred.
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: 791653
Skills Required
- Current student in electrical engineering, computer science, machine learning, or a similar field
- Background or experience with signal processing
- Background or experience with deep learning, including convolutional neural networks, long short-term memory networks, or transformers
- Background or experience with radio-frequency components
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.
