Two W3 Professorships in Machine Learning


The University of Technology Nuremberg (UTN) is a new and unique kind of university that has been established in Germany with the aim of providing a fully digitalized campus that is interconnected with industry and society. The UTN comprises interdisciplinary departments where the research and teaching philosophy involves engineering, natural sciences, and liberal arts. The campus, which is currently under construction, will be a sustainable one covering 37.5 hectares and will have a total of 6,000 students in the medium term.

As a new university, the UTN seeks to foster innovation and excellence by bringing together the brightest minds from various research fields. For this reason, the university is now looking to fill up to two positions as W3 Professor in Machine Learning (m/f/d) at the earliest possible date. The UTN is seeking outstanding candidates who can represent the field of Machine Learning in research and teaching. The major research focus of the candidates should be in one or multiple current areas of Machine Learning such as deep learning, reinforcement learning, supervised, unsupervised, semi-supervised learning, neural architecture search, or embodied learning.

To be eligible for this position, applicants must have a university degree and demonstrate aptitude for research, usually demonstrated through a doctorate or equivalent scientific qualification. Additionally, applicants must demonstrate additional scientific achievements beyond their doctorate and have pedagogical aptitude. Proven interdisciplinary research and teaching experience is desirable. The UTN expects participation in all teaching activities at the Department of Engineering and cooperation within and across departments. The position is suitable for severely disabled persons, and women are encouraged to apply following the Bavarian Equal Opportunities Act.

The appointment will be made in accordance with German public sector employment law and applicants must be younger than 51 years of age at the time of the appointment. However, an appointment as a professor with a public-sector employment contract is possible.

Interested candidates should apply by January 8, 2023, through the university's application portal and must include a cover letter, CV including third-party funded projects and awards, list of publications, teaching statement, high school, university, and doctorate diploma (if applicable). Guidelines for the preparation of the teaching statement can be found on the UTN website.

For any questions regarding the appointment process, interested candidates can contact the university at [email protected]. For questions regarding the scientific profile of the position, they can contact the Department Chair Prof. Dr. Wolfram Burgard at [email protected]. You can also find more information on the university's data privacy policy on the UTN website.

In conclusion, the University of Technology Nuremberg is providing a unique opportunity for individuals who are passionate about Machine Learning and have the skills and qualifications necessary to contribute to the growing research area of artificial intelligence and robotics at the Department of Engineering. This is a great opportunity to be a part of a new and innovative university that is dedicated to bringing together the brightest minds and fostering excellence in research and teaching.


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