Master Thesis - Ingolstadt, Deutschland - CARIAD SE

CARIAD SE

Geprüftes Unternehmen

Ingolstadt, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

PraktikumSHIP

Beschreibung

Master Thesis / Internship - Self-supervised learning for Autonomous Driving Perception (M/F/d)

AI / Data Platform

Student & Talent Programs

Ingolstadt

At CARIAD, it's our mission to transform automotive mobility for everyone, everywhere, making it safer, more sustainable, and more comfortable in every way.

To deliver on that promise, we're building a unified technology and software platform, including a vehicle OS and cloud platform, as well as a unified architecture.

As a 100% subsidiary of the Volkswagen Group, we're developing solutions for all of its brands, including Volkswagen, Audi, and Porsche, and will bring our software to over 40 million vehicles by 2030.

Is this an easy task? Not at all To tackle such a huge challenge, we need a great team. And that's where you come in.

You'll join more than 6,000 CARIDIANS already working on the latest vehicle features and functions like automated driving, state-of-the-art charging technology, as well as a new digital ecosystem.

Together, we're bringing sustainable change to one of the largest companies in the world.

YOUR TEAM:

For the department Onboard Sensor Environment Model we are looking for a master thesis student or an intern to research on the latest state-of-the-art deep learning models for self-supervised and/or semi-supervised pixel-level perception.

Within our team, you will have the opportunity to address some of the most important challenges in computer vision and be in contact with people prominent in the field of perception for autonomous driving.

WHAT YOU WILL DO:

Create and further develop deep learning perception models which can leverage large amounts of unlabeled data without having to manually annotate them
Implement visualization mechanisms to qualitatively assess the performance of the developed perception models
Asses the developed model's performance and compare it with the state of the art
Produce highquality research work that targets toptier computer vision and robotic conferences such as CVPR, ICCV, ECCV, or ICRA

WHO YOU ARE:

Enrolled Master's student in the area of machine learning
Strong programming skills in Python and/or C++
Experience in training deep learning models using the most common machine learning libraries (preferably PyTorch)
Deep understanding of the fundamental concepts of machine learning and computer vision; experience in camera/lidar perception is a plus
Problemsolver, creative and motivated person willing to contribute to making autonomous driving become a reality
Fluency in English

NICE TO KNOW: