Electronics Technician 4 [S] Stuttgart Vollzeit M.C. Dean, Inc.
Volkswagen
The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. You can expect a diverse team that supports you and with whom you can grow together and develop your potential.
Questions about this position can be answered by Fabian Wenzel at fabian.wenzel@volkswagen.de
Symmetries are omnipresent in machine learning, e.g., translation or rotation symmetries in image classification tasks. By encoding information about the symmetry of the problem to be solved, ML algorithms can be tailored to have certain equivariance or invariance properties. This typically leads to benefits in terms of performance or necessary training data as compared to a standard algorithm. In your dissertation, you will explore such symmetry aware AI algorithms alongside matching use cases at Volkswagen group. Computational efficiency and real life situations with imperfect symmetries will be problems you take interest in. Optionally, an outlook on analogies in the field of quantum computing will further expand the portfolio of use cases based on the algorithms you have studied.
Writing a dissertation in the context of development and application of ML algorithms with tailored equivariance & invariance properties
Publishing research results in top tier scientific journals or conferences
Supervising and/or actively contributing to the integration of research results into solutions developed at the Volkswagen Group Innovation
Supervising bachelor / master student projects on areas related to the dissertation topic
The final doctoral topic is defined together with the professor (f/m/d). The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor (f/m/d) of a university or research institution entitled to confer a doctorate.
Good to very good university degree qualifying for PhD studies in a field such as machine learning, mathematics, statistics, physics or related fields with strong mathematical as well as analytical character
Advanced knowledge in several of the following topics: machine learning, group theory, optimization, statistics, quantum mechanics
Programming skills in Python or other common programming languages
First experiences with common open source machine learning and quantum simulation toolboxes
Fluency in English, German is considered a plus
At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.
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The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. Y
Electronics Technician 4 [S] Stuttgart Vollzeit M.C. Dean, Inc.