Master Thesis: AI-Driven Microcontroller Power Design

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Embedded Systems · Software Engineering

In short

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.

Responsibilities

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.

Requirements

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.

Skills

Artificial IntelligenceAnalysisAlgorithmsAPIC++Academic WritingAgileArchitectureAnalyticsAmazon Web Services (AWS)

#Product Development

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