Master thesis Deep Learning (f/m/d)

Work EnvironmentAs 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 roleDesign and implementation of efficient Birds Eye View (BEV) based segmentation and planning models for autonomous drivingBuild robust deep learning architectures capable of processing high-resolution images, improving the prediction performance of BEV perception modelsIdentify and address bottlenecks in current BEV research, pushing forward the boundaries of BEV-based perception for autonomous applicationsOptimize hyperparameters and network architectures using various optimization algorithmsDocumentation and presentation of the resultsQualification RequirementsCurrently enrolled in a Master’s program in Data Science, Computer Science, Computational Science, Mathematics, or a related fieldVery good to good academic achievementsStrong ability to comprehend, analyze, and present research papers within BEV and related domainsProficiency with PyTorch, CUDA, and other relevant deep learning frameworksStrong programming skills in Python and/or C#, with experience in CI/CD pipelines to streamline developmentAbility to dive in and work independently on a scientific topicPrevious research experiences in the field of BEV perception and 3D Computer Vision is an advantageGerman and English Language Level B2The following documents must be submitted with your applicationCover letter and CVCurrent certificate of enrolmentCurrent transcript of recordsIn the case of a compulsory internship, an additional certificate from the universityWork permit for non-EU citizensKeywordsMaschinelles Lernen, Autonomes Fahren, Automatisiertes Fahren, Deep Learning