Master Thesis - Berlin, Deutschland - CARIAD SE

CARIAD SE

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Master Thesis - Deep Learning for Video Perception in ADAS/AD (M/F/d)

AI / Data Platform

Student & Talent Programs

Berlin

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:

We offer you an exciting opportunity for your master thesis in our ADAS & AD Perception & Fusion team. In your role you will develop and analyze state-of-the-art deep learning approaches for video perception.

WHAT YOU WILL DO:

Review the literature on stateoftheart deep learning approaches for computer vision
Create, adapt and further develop deep learning architectures and training approaches
Test and evaluate algorithms and analyze machine learning models
Generate datasets using simulated environments
Collaborate with other experts and teams, e.g. on dataset generation
Understand product goals and assess constraints on the machine learning model (e.g. on compute)

WHO YOU ARE:

Enrolled Master ́s student in Computer Science, Physics or Mathematics with strong background in machine learning
Excellent academic performance
Familiarity with deep learning models for computer vision, e.g. classification, object detection, semantic segmentation, depth estimation, generative models etc.
Experience with programming (Python), deep learning frameworks (Tensorflow, Pytorch) and data analysis
Practical experience in cloud technologies (e.g. Azure ML) is a plus
Fluent in English; German skills are a plus

NICE TO KNOW: