Job Opportunities in Germany


September 19, 2024

CARIAD SE

Ingolstadt


Master Thesis - Data driven scenario modelling using Machine learning approach (m/f/d)

Master Thesis - Data driven scenario modelling using Machine learning approach (m/f/d)
Systems Engineering
Student & Talent Programs
Ingolstadt


At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise. We’re uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud. Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.

Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.

It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey!


ADAS/AD
Our "ADAS/AD" is looking for a Master Thesis student for the project L2+ system. We work on the development of ADAS system for futuristic L2+ systems. This includes end-to-end system development ranging from perception till actuation. Join our energetic team and collaborate with us in bringing the L2+ system on the roads.

WHAT YOU WILL DO

  • Develop the data pipeline to download the vehicle data
  • Label the scenes according to the features of L2+ system
  • Define the set of inputs needed for scenario generation
  • Select and implement suitable Machine learning algorithm for scenario generation
  • Design a light weight UI for user input
  • Develop the data pipeline to store the generated scenario in a repository

WHO YOU ARE

  • Enrolled in a Master degree program in the area of Computer science, Mathematics or Electrical Engineering
  • Good knowledge in sensor data handling, with familiarity in Python, C/C++
  • Knowledge in handling various deep learning methods and applying for specific use cases
  • Analytical skills and problem solving skills
  • Fluent in English

NICE TO KNOW

  • Remote work options
  • 35 hr/ week
  • If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

YOUR RECRUITING CONTACT
Carmen Dörwald
At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.

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