Master Thesis: Antenna System and Technology
Ericsson ABNy
Sammanfattning
This Master's thesis project at Ericsson focuses on enhancing antenna beam patterns using machine learning techniques. The project is suitable for a team of two students and involves analyzing beam weights, developing an optimized excitation-vector model, and validating it through measurement data. Located in Göteborg, Sweden, this opportunity allows students to apply their knowledge in a practical setting while contributing to advancements in wireless network technology.Det här erbjuder vi
Opportunity to work on cutting-edge technology in wireless networks.Collaborative environment with diverse innovators.Chance to apply theoretical knowledge in a practical setting.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-30
Beskrivning
Join our Team
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
This thesis integrates antenna theory, electromagnetic modeling, optimization methods, machine learning, and measurement-based validation.
The skills you bring:
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
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
Ansök till tjänsten
Master Thesis: Antenna System and Technology
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OM FÖRETAGET
Ericsson AB
