About this opportunityInterested in joining Ericsson for the fall 2026 and write your Master Thesis with us?
As 5G evolves toward 6G, radio transmitters must meet increasingly stringent Error Vector Magnitude (EVM) and spectral efficiency requirements-while at the same time minimizing power consumption, area, and cost. Traditional transmitter chains rely on multiple standalone radio functions that are often optimized independently, leading to growing system complexity and expensive hardware implementations.
Recent advances in AI/ML-based signal processing open the possibility of replacing or optimizing multiple traditional DSP functions with a learning-based solution. By jointly addressing nonlinearity, impairments, and spectral performance, neural radio functions may achieve superior performance at comparable hardware and power cost.
This thesis will investigate whether such AI-native radio architectures can:
- Outperform legacy DSP-based solutions
- Be efficiently implemented on real hardware
- Meet future 6G transmitter requirements
If you are interested in AI for wireless systems, hardware design, and next-generation radio architectures, this thesis offers a unique hands-on opportunity at the intersection of communications, machine learning, and hardware.
What you will do
As a thesis student, you will:
- Design an optimized transmitter function that jointly handles key radio impairments traditionally addressed by multiple blocks, and explore novel ML architectures that offer better EVM, spectral performance, or robustness than legacy solutions.
- Implement and compare AI-based and traditional DSP-based radio functions on hardware, including:
- Targeting FPGA platforms, utilizing both programmable logic and processors
- Exploring and comparing architectural trade-offs
- Quantitatively evaluate AI vs. legacy implementations in terms of:
- EVM and spectral performance
- Latency
- Power consumption
- Hardware complexity and scalability
- Build a hardware test setup integrating digital, mixed-signal, and analog components, and demonstrate the solution under realistic laboratory conditions.
- Present your results and deliver a handover report to the Ericsson team at the end of the thesis.
The skills you bring
You are curious, collaborative, and eager to learn new things, and you enjoy working in a team to solve challenging research problems.
- Final-year MSc studies in electrical engineering, systems-on-chip, mathematics, machine learning, or a similar field
- Background in signal processing or radio (preferred)
- Interest in wireless communication systems, hardware implementation, and AI/ML-based signal processing
Extent: 1-2 students
Location: Lund
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) || Lund
Req ID: 783099
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Ericsson Compensation & Benefits Highlights
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Retirement Support — The U.S. 401(k) includes an automatic 3% company contribution plus matching (100% of the first 3% and 50% of the next 2%) with immediate vesting. An employee stock purchase plan and legacy pensions in some groups strengthen long‑term savings.
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Leave & Time Off Breadth — Generous PTO, paid holidays, sick time, bereavement leave, and a dedicated volunteer day are offered. Time‑off allotments can increase with tenure and are complemented by hybrid work where roles allow.
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Healthcare Strength — Medical, dental, vision, and mental‑health support are part of a comprehensive health and wellbeing offering. Wellness initiatives such as onsite gyms, fitness classes, and EAP access are available in certain locations.
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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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