Embedded Software Development Specialist

3 weeks ago


Gothenburg, Västra Götaland, Sweden Aptiv Full time
Acoustic Echo Cancellation Researcher Opportunity

Aptiv is offering a research opportunity for final-year Master's students with an interest in embedded software development and signal processing. Students will work on a six-month project contributing to the advancement of automotive communication technologies.

Under the mentorship of experienced professionals and with access to cutting-edge resources and facilities, students will explore the world of automotive technology and work on cutting-edge research projects.

The primary objectives of this research opportunity are as follows:

  • Development of an efficient AEC algorithm based on Frequency Domain Adaptive Filters (FDAF) capable of dealing with the challenges associated with automotive environments
  • Integration of the FDAF-based AEC algorithm into Aptiv's SoundCubeTM DSP framework
  • Establishment of Key Performance Indicators (KPIs) to assess the effectiveness of the FDAF-based AEC algorithm and to utilize various performance measurement techniques to benchmark the algorithm against existing solutions

Our approach will involve a combination of embedded software development in C and signal processing algorithm development in Matlab or Python. This multi-faceted methodology will encompass the following steps:

  • Research and design an FDAF-based AEC algorithm optimized for automotive environments
  • Implement the algorithm in C for seamless integration into the SoundCubeTM framework
  • Define a comprehensive set of KPIs to measure the efficacy of the AEC system
  • Employ Matlab or Python to conduct extensive performance testing and benchmarking

Upon successful completion of this research project, we anticipate the following outcomes:

  • The development of an FDAF-based AEC algorithm capable of effectively addressing challenges associated with automotive communications systems
  • Integration of the algorithm into Aptiv's SoundCubeTM DSP framework, making it accessible for practical communication systems
  • A set of well-defined KPIs and benchmarking results to assess the performance of the FDAF-based AEC system

This research project is an excellent opportunity for students to gain hands-on experience in embedded software development and signal processing algorithm development, and to contribute to the advancement of automotive communication technologies.



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