Background
Radar is a core perception technology in advanced driver assisted systems (ADAS) for enhancing safety and convenience. Future radar systems in vehicles will likely move to the higher millimeter-wave bands and incorporate more digital processing and machine learning capabilities. This Master thesis explores the topic of machine learning in automotive radar sensing in this context, leading to development of novel radar sensing approaches shaping future ADAS.
As a candidate for this position, it is expected that you have:
- Enrolled as a Master’s student in computer/electrical/electronic engineering, or a relevant field of study.
- Background in signal processing and machine learning.
- Strong experience in Matlab/Python scripting.
- Strong oral and written communication skills in English.
- Strong motivation in working in an R&D environment.
More information about NXP in the Netherlands...
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What We Do
NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com.
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