Master Thesis: AI-Driven Microcontroller Power Design

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Inbyggda system · Mjukvaruutveckling

I korthet

This Master's thesis project focuses on the practical firmware implementation and testing of AI and Machine Learning algorithms on microcontrollers within power designs for mobile networks. It is a collaborative effort for two students, located in Gothenburg, Sweden, and will run during Spring 2027.

Ansvarsområden

Develop and implement Machine Learning and AI algorithms in firmware.
Test and validate concepts on actual physical hardware.
Further probe into ML and AI, focusing on real-world application on an MCU.

Krav

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.

Färdigheter

Artificial IntelligenceAnalysisAlgorithmsAPIC++Academic WritingAgileArchitectureAnalyticsAmazon Web Services (AWS)

#Product Development

Om Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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