Automotive Signal Processing Specialist
1 week ago
Aptiv is offering thesis work opportunities for final-year Master's students with an interest in embedded software development and signal processing, preferably with a background in Computer Science and Electrical Engineering.
The successful candidate will contribute to the advancement of automotive communication technologies on a six-month project. Under the mentorship of experienced professionals and access to cutting-edge resources and facilities, the student will explore the world of automotive technology and work on cutting-edge research projects.
Project OverviewThe project focuses on the applicability of machine learning methods in room impulse response estimation and equalization filters optimization within automotive. The aim is to develop reliable computational models for estimating room impulse responses and designing optimal equalization filters.
The scope includes hands-on measurements inside different rooms/cabins to gather data for modeling room impulse responses. These models will then be used to construct and validate equalization filters. Simulations/calculations will be performed in Python using various machine learning frameworks.
Key Objectives- Evaluate at least three machine learning methods for room impulse response estimation.
- Evaluate at least three machine learning methods for equalization filter optimization.
- Develop and validate a software system for room impulse response estimation and equalization filter optimization for automotive applications.
To succeed in this role, you should have a strong academic background in Computer Science or Electrical Engineering, with a focus on embedded software development and signal processing. Experience with machine learning frameworks and Python programming is highly desirable.
What We OfferAptiv offers a competitive salary, estimated at $55,000 - $65,000 per year, depending on qualifications and experience. Additionally, you will have access to our state-of-the-art facilities and resources, as well as the opportunity to work with experienced professionals in the field.
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