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PhD Student for Machine Learning Radar Perception (f/m/d)

Aptiv Services Deutschland GmbH

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  • Jobware-Import
  • E-Mail: torsten.gramann@evolver.de
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1745704799
01.08.2022
02.08.2022
837749
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01.08.2022
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PhD Student for Machine Learning Radar Perception (f/m/d)

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PhD Student for Machine Learning Radar Perception (f/m/d)

Ihre Tätigkeiten

This work will investigate new methods to improve radar perception for different applications using machine learning to enable to the development of next generation radar machine learning perception.

The opportunity to work on state-of-the-art machine learning solutions in a research oriented environment
Hands-on work with real-world data to develop and test your machine learning solutions
A strong, supportive global team of machine learning engineers to contribute and support you

Ihr Profil

You hold a master's degree in Computer Science, Engineering, Math, Physics or similar
Good knowledge in programming languages like Python or C++
Good grades and a good understanding of mathematical and physical theoretical concepts
Good communication skills (written and spoken) in English
You bring self-motivation, hands-on spirit and enjoy working on challenging tasks
Good time management and self-reliance

 

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PhD Student for Machine Learning Radar Perception (f/m/d) Wuppertal, Nordrhein-Westfalen Ph.D. ScholarshipMachine Learning / Artificial Intelligence APTIV is one of the largest automotive suppliers and a global technology leader, with more than 190,000 people worldwide. We address mobility's toughest challenges and deliver market-relevant solutions for our customers. One key technology for further pushing the boundaries of advanced driver assistance systems and autonomous driving is machine learning and artificial intelligence. Radar has been considered a measurement device for a long time without machine learning playing a major role in its signal processing. But with more modern radar sensors and in more complex environments, machine learning can bring an important value add to the interpretation of the environment. This work will investigate new methods to improve radar perception for different applications using machine learning to enable to the development of next generation radar machine learning perception. We Offer Funding for 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 work with real-world data to develop and test your machine learning solutions A strong, supportive global team of machine learning engineers to contribute and support you Your Profile You hold a master's degree in Computer Science, Engineering, Math, Physics or similar Good knowledge in programming languages like Python or C++ Good grades and a good understanding of mathematical and physical theoretical concepts Good communication skills (written and spoken) in English You bring self-motivation, hands-on spirit and enjoy working on challenging tasks Good time management and self-reliance Interested? Great! Please apply and include your CV and (important!) a grade overview. Diversity and Inclusion are sources of innovation and creativity, both of which are essential to Aptiv's success. Everyday our diverse team comes together, drives innovation, pursues solutions, and meets challenges using their unique abilities, perspectives and talents, changing what tomorrow brings. When you join our team, you'll get encouraged to think boldly, express your viewpoint and innovate as a matter of habit. Some See Technology. We See a Way to Make Connections. 'We are one of the largest vehicle technology suppliers and our customers include the 25 largest automotive original equipment manufacturers («OEMs») in the world. We operate 127 major manufacturing facilities and 12 major technical centers utilizing a regional service model that enables us to efficiently and effectively serve our global customers from best cost countries. We have a presence in 46 countries and have approximately 18,900 scientists, engineers and technicians focused on developing market relevant product solutions for our customers' Applications from severely disabled persons and persons of equal status will be given preferential consideration in the event of equal suitability. Apply now


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