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Thesis - Machine Learning methods in the field of ADAS/AD

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AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving, vehicle integration, digitalization, virtualization, Big Data, and much more.We offer a thesis with the topic of

Thesis - Machine Learning methods in the field of ADAS/AD

Location: 8010 Graz, Austria

Your responsibilities:

  • Development of new generation machine learning methods focused on the detection of object, lane and driving scenarios
  • Integration of the developed methods into AVL platforms 
  • Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods

Your profile:

  • Good programming skills in Python or C++
  • Knowledge of Machine Learning and Computer Vision
  • Knowledge of Big Data Analysis
  • Good knowledge of German and English

We offer:

  • Computer Science
  • Telematics
  • Physics
  • Electrical Engineering

Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: EUR 3.300,--. We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.

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