Master thesis Deep Learning (f/m/d)

Volkswagen Algérie; Wolfsburg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading automotive company in Wolfsburg is seeking a Master's student for an innovative position focusing on AI and data analytics for autonomous driving. The ideal candidate will assist in designing and optimizing models and architectures, while also enhancing deep learning capabilities. Must possess strong programming skills and knowledge of relevant frameworks. Fluency in German and English at Level B2 is required.

Qualifikationen

• 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.
• Previous research experiences in the field of BEV perception and 3D Computer Vision is an advantage.
• German and English Language Level B2.

Aufgaben

• Design and implement efficient BEV-based segmentation and planning models for autonomous driving.
• Build robust deep learning architectures for high-resolution image processing.
• Identify and address bottlenecks in current BEV research.
• Optimize hyperparameters and network architectures.
• Document and present the results.

Jobbeschreibung

Work Environment

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.

Possible Tasks within this role

• 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

Qualification 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
• Previous research experiences in the field of BEV perception and 3D Computer Vision is an advantage
• German and English Language Level B2

The following documents must be submitted with your application

• Cover letter and CV
• Current certificate of enrolment
• Current transcript of records
• In the case of a compulsory internship, an additional certificate from the university
• Work permit for non-EU citizens

Keywords

Maschinelles Lernen, Autonomes Fahren, Automatisiertes Fahren, Deep Learning