Master thesis Deep Learning, Volkswagen AG

Master thesis Deep Learning

Volkswagen AG

Location:
Germany, Wolfsburg

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As part of Volkswagen Group Innovation, the AI & Data Analytics subdivision deals with the methodology and concept development of digital services for all Volkswagen Group brands. The main topics are, on the one hand, the processing and analysis of vehicle data and, on the other hand, the integration of artificial intelligence (AI) into digitized and networked vehicles. With the help of AI, for example, aging information and misbehavior of vehicle components are detected, but also perception tasks of autonomous driving are solved. Within these areas of responsibility, we offer you the opportunity to participate in the research and development of intelligent algorithms in a young and interdisciplinary team and to help shape the mobility of tomorrow.

Job Responsibility:

Design and implementation of efficient Birds Eye View (BEV) based segmentation and planning models for autonomous driving
Build robust deep learning architectures capable of processing high-resolution images, improving the prediction performance of BEV perception models
Identify and address bottlenecks in current BEV research, pushing forward the boundaries of BEV-based perception for autonomous applications
Optimize hyperparameters and network architectures using various optimization algorithms
Documentation and presentation of the results

Requirements:

Currently enrolled in a Master's program in Data Science, Computer Science, Computational Science, Mathematics, or a related field
Very good to good academic achievements
Strong ability to comprehend, analyze, and present research papers within BEV and related domains
Proficiency with PyTorch, CUDA, and other relevant deep learning frameworks
Strong programming skills in Python and/or C#, with experience in CI/CD pipelines to streamline development
Ability to dive in and work independently on a scientific topic
German and English Language Level B2

Nice to have:

Previous research experiences in the field of BEV perception and 3D Computer Vision is an advantage

Additional Information:

Job Posted:
November 12, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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