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Master Thesis: Characterizing hardware imperfection of power amplifiers

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

In short

This Master Thesis project at Ericsson in Stockholm focuses on modeling hardware imperfections in power amplifiers using advanced techniques like neural networks. You will work with real testbed data to investigate and develop models, comparing their performance against existing methods to enhance radio system reliability.

Responsibilities

  • Investigate state-of-the-art research on conventional and neural network-based models for hardware imperfections.
  • Suggest suitable models for the imperfection under study.
  • Implement models in the existing simulation framework.
  • Compare model performance and complexity with existing ones.
  • Perform analytical studies on model performance to gain insights into imperfections.

Requirements

  • Student in electrical engineering, computer science, machine learning, or similar.
  • Background or experience with signal processing.
  • Background or experience with deep learning (e.g., convolutional neural networks, Long-short term memory, transformer based).
  • Background or experience with radio frequency components is preferred.

Benefits

  • Outstanding opportunity to use skills and imagination to push boundaries.
  • Chance to build solutions never seen before.
  • Challenging environment with a team of diverse innovators.
  • Opportunity to craft what comes next.
  • Encouraging a diverse and inclusive organization.
  • Championing diversity in everything we do.
  • Collaboration with people with different experiences drives innovation.
  • Ericsson is proud to be an Equal Opportunity Employer.

Skills

deep learningconvolutional neural networksLong-short term memorytransformerradio frequencysignal processingArtificial IntelligenceAnalysisC++AlgorithmsAgileAcademic WritingAPIArduino Software5GArchitecture
#hardware#power amplifiers#neural networks#thesis
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About Ericsson

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Company

Ericsson

Job Posted

1 month ago

Employment Type

Internship

Work mode

On Site

Experience Level

Student

Locations

Stockholm, Sweden

Qualification

Bachelor

Applicants

Be an early applicant