Master Thesis: AI-Assisted Radio Receivers and Signal Processing for 5G/6G
Ericsson ABSammanfattning
This thesis opportunity focuses on the application of artificial intelligence and machine learning in enhancing signal processing and receiver functions for 5G and future 6G wireless systems. The research will allow students to explore AI techniques relevant to radio units, with flexibility to align the project with their interests. The work will be conducted in Stockholm, Sweden, and involves simulation and practical evaluation of AI-assisted signal processing solutions.Det här erbjuder vi
Opportunity to work on cutting-edge technology in 5G/6G systems.Flexibility to explore AI directions that match personal interests.Collaboration with a diverse team of innovators.Supportive environment for personal and professional growth.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-22
Beskrivning
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About this opportunity:
The development of 5G-Advanced and future 6G wireless systems introduces increasingly demanding requirements on the performance, flexibility, and efficiency of Radio Units (RUs). Artificial intelligence and machine learning offer new opportunities to enhance signal processing and receiver functions within the RU.
This thesis will investigate the use of AI/ML techniques in radio-receiver and signal-processing functions for 5G/6G systems, with particular emphasis on their potential for practical RU applications.
The specific research problem, AI approach, and system scenario will be defined together with the student. The thesis therefore provides flexibility to explore an AI direction that matches the student's interests while maintaining a clear focus on practical AI-assisted signal processing for 5G/6G Radio Units.
What you will do:
Select one or two related research directions from the items listed below, depending on your interests and background:
• AI-assisted MIMO receivers and signal detection
• AI-based channel estimation and equalization
• AI-assisted signal processing under challenging wireless conditions
• AI-based compensation of RF and hardware impairments
• AI-assisted processing for massive MIMO systems
• Learning-based or model-based signal-processing techniques
• AI methods designed with practical RU implementation constraints in mind
Identify a suitable RU-side problem, select an appropriate AI/ML approach, and evaluate its performance
against conventional signal-processing techniques. Consider practical RU implementation aspects such as computational complexity, latency, memory requirements, energy efficiency, and hardware
feasibility. Conduct the work through simulation and, where appropriate, evaluate the solution on a
suitable hardware or computing platform.
Conclude the thesis with a written report and a presentation of the results.
The skills you bring:
• Master's-level studies in electrical engineering, computer science, computer engineering, applied physics, or a related field
• Background in wireless communications, digital signal processing, or radio systems
• Interest in artificial intelligence and machine learning for signal-processing applications
• Programming experience, preferably in Python, C++, or a similar language
• Ability to work independently, analyze technical problems, and communicate results clearly
• Knowledge of MIMO, channel estimation, detection, equalization, RF impairments, or hardware-aware AI is beneficial but not required
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: 791100
About this opportunity:
The development of 5G-Advanced and future 6G wireless systems introduces increasingly demanding requirements on the performance, flexibility, and efficiency of Radio Units (RUs). Artificial intelligence and machine learning offer new opportunities to enhance signal processing and receiver functions within the RU.
This thesis will investigate the use of AI/ML techniques in radio-receiver and signal-processing functions for 5G/6G systems, with particular emphasis on their potential for practical RU applications.
The specific research problem, AI approach, and system scenario will be defined together with the student. The thesis therefore provides flexibility to explore an AI direction that matches the student's interests while maintaining a clear focus on practical AI-assisted signal processing for 5G/6G Radio Units.
What you will do:
Select one or two related research directions from the items listed below, depending on your interests and background:
• AI-assisted MIMO receivers and signal detection
• AI-based channel estimation and equalization
• AI-assisted signal processing under challenging wireless conditions
• AI-based compensation of RF and hardware impairments
• AI-assisted processing for massive MIMO systems
• Learning-based or model-based signal-processing techniques
• AI methods designed with practical RU implementation constraints in mind
Identify a suitable RU-side problem, select an appropriate AI/ML approach, and evaluate its performance
against conventional signal-processing techniques. Consider practical RU implementation aspects such as computational complexity, latency, memory requirements, energy efficiency, and hardware
feasibility. Conduct the work through simulation and, where appropriate, evaluate the solution on a
suitable hardware or computing platform.
Conclude the thesis with a written report and a presentation of the results.
The skills you bring:
• Master's-level studies in electrical engineering, computer science, computer engineering, applied physics, or a related field
• Background in wireless communications, digital signal processing, or radio systems
• Interest in artificial intelligence and machine learning for signal-processing applications
• Programming experience, preferably in Python, C++, or a similar language
• Ability to work independently, analyze technical problems, and communicate results clearly
• Knowledge of MIMO, channel estimation, detection, equalization, RF impairments, or hardware-aware AI is beneficial but not required
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: 791100
Ansök till tjänsten
Master Thesis: AI-Assisted Radio Receivers and Signal Processing for 5G/6G
OM FÖRETAGET
Ericsson AB
