Machine Learning Radar Engineer

Vor 5 Tagen


Wuppertal, Nordrhein-Westfalen, Deutschland Aptiv Vollzeit

Unlock the Potential of Radar Machine Learning

Aptiv, a global technology leader, is seeking a highly motivated Ph.D. scholar to join our research-oriented team and contribute to the development of next-generation radar machine learning perception. As a key player in the automotive industry, we address mobility's toughest challenges and deliver market-relevant solutions for our customers.

Radar has traditionally been viewed as a measurement device, but with the advent of modern radar sensors and complex environments, machine learning can bring significant value to signal processing. This project will investigate new methods to improve radar perception for various applications using machine learning, enabling the development of cutting-edge radar machine learning perception.

Your Profile

  • You hold a master's degree in Computer Science, Engineering, Math, Physics, or a related field.
  • Proficiency in programming languages such as Python or C++.
  • Strong understanding of mathematical and physical theoretical concepts.
  • Excellent communication skills in English.
  • Self-motivation, hands-on spirit, and enthusiasm for tackling challenging tasks.
  • Effective time management and self-reliance.

Why Aptiv?

  • We offer a dynamic work environment where individuals can grow and develop, regardless of background or beliefs.
  • We prioritize safety and strive for a world with zero fatalities, zero injuries, and zero accidents.
  • We provide comprehensive support for your family's and your physical and mental well-being.

We Offer

  • A 3-year full-time Ph.D. scholarship in cooperation with a university.
  • The opportunity to work on state-of-the-art machine learning solutions in a research-oriented environment.
  • Hands-on experience with real-world data.
  • A collaborative global team of highly educated machine learning engineers to support and contribute to your work.

Apply Now

Please submit your CV and a grade overview for consideration.



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