Master Thesis: Neural Network Models in Radio Networks
Ericsson ABSammanfattning
This thesis opportunity at Ericsson focuses on applying machine learning techniques to enhance mobile network performance through coverage prediction. The role involves training and evaluating neural network models against decision tree models using real data from a radio access network. Located in Linköping, Sweden, this position offers a chance for master's students in computer science, computer engineering, or statistics and machine learning to contribute to innovative solutions in a diverse,Det här erbjuder vi
Opportunity to work on innovative solutions in mobile networks.Collaborative environment with a diverse team.Encouragement of diverse and inclusive practices.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-11
Beskrivning
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About this opportunity:
As mobile networks are becoming increasingly complex, one way of increasing performance and making the mobile network more self-autonomous is to apply machine learning techniques. For example, machine learning can be used to predict signal strength for certain frequencies or cells given a position in the radio environment. In a radio access network, the hardware resources are limited, and it is important that the machine learning models utilize the available resources as efficiently as possible.
This thesis will focus on training and evaluation of neural network models for coverage prediction. Prediction accuracy, memory and CPU usage for neural network models will be compared with decision tree models. The data set will consist of measurements already collected by Ericsson from a real radio access network.
What you will do:
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) || Linköping
Req ID: 792031
About this opportunity:
As mobile networks are becoming increasingly complex, one way of increasing performance and making the mobile network more self-autonomous is to apply machine learning techniques. For example, machine learning can be used to predict signal strength for certain frequencies or cells given a position in the radio environment. In a radio access network, the hardware resources are limited, and it is important that the machine learning models utilize the available resources as efficiently as possible.
This thesis will focus on training and evaluation of neural network models for coverage prediction. Prediction accuracy, memory and CPU usage for neural network models will be compared with decision tree models. The data set will consist of measurements already collected by Ericsson from a real radio access network.
What you will do:
- Investigate and compare neural networks and decision trees for coverage models.
- Evaluate performance of the neural network models using real data.
- The thesis will be concluded with a result presentation for the Ericsson development team.
The skills you bring:
- Master's student in computer science, computer engineering or statistics and machine learning.
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) || Linköping
Req ID: 792031
Ansök till tjänsten
Master Thesis: Neural Network Models in Radio Networks
OM FÖRETAGET
Ericsson AB
