About the opportunity:
In a world where wireless networks constantly push for higher capacity and reliability, the ability to precisely shape antenna beams is a key differentiator. This thesis explores how machine learning can uncover excitation vectors that produce better beam patterns in practical antenna arrays, explicitly accounting for effects such as mutual coupling between elements. The aim is to create an excitation-vector model that leads to improved beam-weight design and measurable gains in overall antenna system performance. The Master's thesis project is suitable for a team of two students.
What you will do
- Analyze the interaction between beam weights and antenna system performance, focusing on aspects such as side-lobe suppression.
- Examine the correlation between cost functions and excitation vectors across various antenna geometries.
- Investigate the influence and dependencies between excitation vectors and cost functions.
- Develop an optimized excitation-vector model.
- Assess the model's effectiveness using established quality metrics from both machine learning and antenna design.
- Validate the model through measurement data.
This thesis integrates antenna theory, electromagnetic modeling, optimization methods, machine learning, and measurement-based validation.
The skills you bring:
- Currently enrolled in a Master's program in Engineering Physics, Electrical Engineering, Computer Engineering, or an equivalent field.
- Knowledge of electromagnetic field theory.
- Experience with Python programming.
- Experience with MATLAB.
- Experience applying machine learning methods.
- An analytical and structured approach to problem-solving.
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) || Göteborg
Req ID: 790796
Skills Required
- Currently enrolled in a Master's program in Engineering Physics, Electrical Engineering, Computer Engineering, or an equivalent field
- Knowledge of electromagnetic field theory
- Experience with Python programming
- Experience with MATLAB
- Experience applying machine learning methods
- Analytical and structured approach to problem-solving
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Retirement Support — An automatic employer contribution of 3% plus up to 4% in matching is outlined for U.S. employees, enabling a potential 7% total employer contribution subject to plan rules. Feedback suggests this is a standout element of the package.
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Leave & Time Off Breadth — The U.S. package specifies at least 15 vacation days for new hires, up to 3 personal days, 11 holidays, and 80 hours of sick time, with flexibility noted in taking time away. Feedback suggests time‑off breadth and usability are strong points.
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Parental & Family Support — Published materials describe up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay, subject to eligibility. Feedback suggests these policies provide meaningful support for families.
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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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