at the Department of Engineering.
You represent the subject Computer Vision in research and teaching. You will play a key role in establishing the first main research area of the Department, which will focus on "Robotics and Artificial Intelligence". Here you will collaborate, among others, with excellent international researchers from the fields of Robotics, Machine Learning, Data Science and Natural Language Processing. The interdisciplinary collaboration with humanities scholars and social and natural scientists at the Department of Liberal Arts and Sciences is a further goal.
Your research focus should be in the development of Machine Learning Techniques for Image Processing, for example using Deep Neural Networks. You should be able to demonstrate this with relevant publications and conference contributions. Proven interdisciplinary research is advantageous. In addition, you should be able to demonstrate the relevance of your work to applications and a willingness to contribute to the aforementioned main research area.
Teaching experience, ideally in interdisciplinary contexts, is desired. We expect your participation in all teaching activities at the Department of Engineering, including study course planning and engagement in the development of innovative digital teaching and learning concepts, as well as cooperation within and across departments.
The legal hiring criteria according to Article 57 Paragraph 1 BayHIG apply. Therefore, a university degree is a prerequisite, as well as a particular aptitude for research, usually demonstrated through a doctorate or equivalent scientific qualification. Furthermore, applicants must demonstrate additional scientific achievements beyond their doctorate or doctorate-equivalent qualification, as well as pedagogical aptitude.
The University of Technology Nuremberg is rethinking the university on all levels. We offer a motivated and excellent international team in which you can contribute with all your ideas and competencies. You will be able to try out new, interdisciplinary forms of reasearch collaboration as well as teaching and learning and help shape them.
We make sure that you will be able to fully focus on your work by modern, service-oriented administrative units. We see diversity as an asset. The University of Technology Nuremberg is a place that offers knowledge and equal opportunities to people regardless of gender, age, sexual orientation, ideology, religion, origin or disability. The position is suitable for severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal. We see family-friendliness as the basis for achieving equal opportunities for men and women in science. Therefore, we offer flexible ways of working, family-friendly times for events and meetings, as well as dual-career options. The University of Technology Nuremberg aims to increase the proportion of women in research and teaching and therefore strongly encourages women to apply.
Are you interested?
Please refer to the reference number PF-2023-02 in your application. Please apply by June 4th 2023 (extension of deadline) in English and with all relevant application documents (letter of motivation, curriculum vitae (incl. awards, third-party funding), list of publications, teaching statement, research statement, high school diploma and university diplomas (e.g. university studies, doctorate (if applicable) etc.) exclusively via our application portal.
Please observe our guidelines for the preparation of the teaching statement, which can be found under the following links:
Do you have any questions?
If you have any administrative questions please contact the Appointments Team, firstname.lastname@example.org. If you have questions regarding the profile of the position contact the Founding Chair of the Department of Engineering, Prof. Dr. Wolfram Burgard, email@example.com.