Master Thesis: AI‑Enhanced Next‑Gen DPD for 1 GHz+ Instantaneous Bandwidth Power Amplifiers
About this opportunity:
Modern radio access networks increasingly rely on wideband power amplifiers (PAs) with instantaneous bandwidths of 1 GHz and beyond. These PAs exhibit strong nonlinearities and memory effects, which can cause spectral regrowth, degraded error-vector magnitude (EVM), and reduced energy efficiency.
Digital predistortion (DPD) is essential for linearizing PAs, but conventional approaches can become difficult to scale to very wide bandwidths. They may require complex models, extensive tuning, and significant computational and memory resources. Recent advances in AI and machine learning offer new opportunities for more efficient model structures, parameterization, and adaptation.
This thesis will investigate next-generation DPD models for 1 GHz+ bandwidth PAs, with a focus on hybrid approaches that combine domain knowledge of PA behavior with AI/ML techniques. The work will primarily involve simulation and offline processing of realistic PA models and/or measured data from Ericsson-relevant scenarios. Laboratory validation may be included where appropriate.
What you will do:
- Review state-of-the-art DPD methods for wideband power amplifiers, including polynomial, LUT-based, and AI/ML-based approaches.
- Design and implement one or more DPD model structures that efficiently capture wideband memory effects and frequency-dependent PA behavior.
- Explore AI/ML for applications such as feature learning, model selection, parameter initialization, or improved tuning-while maintaining practical and interpretable solutions.
- Develop an evaluation framework in MATLAB, Python, or a similar environment using realistic PA models and/or measured PA data.
- Evaluate and compare the proposed approach with a representative baseline in terms of linearization performance, robustness, stability, computational complexity, and memory requirements.
- Provide recommendations for future DPD development in Ericsson wideband radios, including potential follow-up work on real-time implementation, faster tuning, and live adaptation.
The skills you bring:
- Pursuing Master's in Electrical Engineering, Applied Physics, Computer Science, or a related field.
- Strong interest in signal processing, communication systems, RF technologies and power amplifiers.
- Programming skills in MATLAB and Python.
- Knowledge of digital predistortion, RF systems, nonlinear systems, or machine learning is an advantage.
- You are analytical, structured, and able to work independently on an algorithm-development problem.
- You are motivated by working at the intersection of advanced algorithms, AI, and next-generation radio technology.
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: 789188
Skills Required
- Currently pursuing a Master's degree in Electrical Engineering, Applied Physics, Computer Science, or a related field
- Strong interest in signal processing, communication systems, RF technologies, and power amplifiers
- Programming skills in MATLAB and Python
- Knowledge of digital predistortion, RF systems, nonlinear systems, or machine learning
- Analytical, structured, and able to work independently on algorithm-development problems
- Motivation to work at the intersection of advanced algorithms, AI, and next-generation radio technology
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Ericsson Compensation & Benefits Highlights
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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.
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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.
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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.
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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.
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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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