Internship / Master's Thesis Generative AI for Autonomous Driving (f / m/d)

Description

Generative AI, Machine Learning, Autonomous Driving, Automated Driving, Anomalies, Deep Learning, Scene Understanding Der Bruttostundenlohn für Praktika (auch Pflichtpraktika) und Abschlussarbeiten entspricht der Höhe des aktuellen Mindestlohns. Contact person for this posting: Hartmut Fromm Generative AI, Machine Learning, Autonomous Driving, Automated Driving, Anomalies, Deep Learning, Scene Understanding

Company

• Volkswagen AG

Contract

• Fixed-term

Work Environment

• As part of Volkswagen Group Innovation, our team deals with AI & Data Analytics tasks in the development of digital services for different Volkswagen Groupbrands. This includes topics such as processing and analyzing vehicle data as well as integrating artificial intelligence (AI) into digitized vehicles. State-of-the-artAI methods address perception and scene understanding problems in automated driving. We investigate the effect of difficult and adverse driving scenarios aspart of testing processes. Within these fields of innovation, we offer you the possibility to participate in the research and development of intelligent algorithms inan interdisciplinary and to help shape the mobility of tomorrow. During your internship (at least 6 months) or thesis work, you will have the chance to tackle acomplex issue in the exciting field of generative AI and automated driving. If you are pursuing a master’s thesis, the task and research questions will bedetermined together with your professor upon confirmation of supervision.

Department

• Research and Development

Shift

• Full-time

Experience

• Interns

Qualification requirements

• Master’s student in Computer Science, Robotics, Data Science, Mathematics, Physics, Engineering Sciences or a related qualification

• Very good to good academic achievements

• Strong analytical and conceptual skills, familiarity with scientific methods

• Ability to work independently and in multidisciplinary teams, highly motivated

• Good knowledge of an object-oriented programming language, preferably Python, and of deep learning methods

• Profound experience with deep learning libraries like PyTorch in the context of research projects

• Ideally practical experience in the area of driver’s assistance systems or automated driving

• Fluent in English (at least language level B2)

Possible Tasks within this Role

• Development and implementation of concepts to systematically generate traffic scenarios with anomalies or adverse conditions

• Research and analysis of current literature on the generation of anomalous data

• Practical investigations of data-driven deep learning methods for scenario generation for a selected use case

• Evaluation of the quality of the generated data according to self-developed or predefined criteria

• Documentation and presentation of the results

The following documents must be submitted with the 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