Master Thesis: AI-Driven Microcontroller Power Design
Ericsson ABNy
Sammanfattning
Ericsson Power is seeking two Master's students for a collaborative thesis project focused on integrating Machine Learning and AI into microcontrollers for power designs. Located in Lindholmen, Gothenburg, this project will involve firmware implementation, hardware testing, and concept evaluation, aiming to enhance Ericsson's mobile network equipment. The thesis will run during Spring 2027, providing an opportunity to work at the forefront of power product development within a diverse and innovtDet här erbjuder vi
Opportunity to work on innovative projects in power product development.Collaborative environment with diverse innovators.Experience in practical application of Machine Learning and AI.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-25
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About this opportunity:
Ericsson Power is at the forefront of power product development for current and future mobile networks. We are a part of Ericsson's global design organization, creating products for critical internal stakeholders including Radio, Enclosure & Power, Microwave, Baseband, and Core/Cloud.
This Master's thesis aims to continue our work on bringing Machine Learning and AI to microcontrollers in power designs. Building on previous research that identified lightweight ML algorithms for resource-constrained environments, your project will focus on the practical firmware implementation and testing of these concepts on actual physical hardware. The goal is to integrate advanced intelligence into the microcontroller residing in the power input stage of Ericsson mobile network equipment.
This project is located in Lindholmen, Gothenburg, and will run during Spring 2027.
What you will do:
You will delve into the practical application of Machine Learning and AI on microcontrollers within Ericsson's power designs. Your main tasks will include:
This thesis is designed for two students working collaboratively.
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: 791219
About this opportunity:
Ericsson Power is at the forefront of power product development for current and future mobile networks. We are a part of Ericsson's global design organization, creating products for critical internal stakeholders including Radio, Enclosure & Power, Microwave, Baseband, and Core/Cloud.
This Master's thesis aims to continue our work on bringing Machine Learning and AI to microcontrollers in power designs. Building on previous research that identified lightweight ML algorithms for resource-constrained environments, your project will focus on the practical firmware implementation and testing of these concepts on actual physical hardware. The goal is to integrate advanced intelligence into the microcontroller residing in the power input stage of Ericsson mobile network equipment.
This project is located in Lindholmen, Gothenburg, and will run during Spring 2027.
What you will do:
You will delve into the practical application of Machine Learning and AI on microcontrollers within Ericsson's power designs. Your main tasks will include:
- FW Implementation: Develop and implement Machine Learning and AI algorithms in firmware.
- Hardware Testing: Test and validate your concepts on actual physical hardware.
- Concept Evaluation: Further probe into ML and AI, focusing on real-world application on an MCU.
This thesis is designed for two students working collaboratively.
The skills you bring:
- Master's student in Electrical Engineering, Engineering Physics, Computer Science, or a similar field.
- A strong interest in power products and MCU-based programming.
- Proficient in English, both oral and written.
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: 791219
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Master Thesis: AI-Driven Microcontroller Power Design
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