We are innovating university! Interdisciplinary, international and digital – these are the pillars of the University of Technology Nuremberg. The aim is to combine and interlink engineering science with other topics of society. Besides the outlined interdisciplinary approach, the university will put its emphasis on courses in English, on digital learning as well as future-oriented research. In the medium term, the university is to provide a place for learning and personal development for up to 6,000 students – on a campus combining research, learning, and living. The project is currently one of the most important higher education projects of the Free State of Bavaria (Germany).
The University of Technology Nuremberg is looking to fill, at the earliest possible date, a position as a
at the Department of Engineering.
You represent the subject Natural Language Processing 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 Computer Vision. The interdisciplinary collaboration with humanities scholars and social and natural scientists at the Department of Liberal Arts and Sciences, within the topics of “Human and Artificial Intelligence” and “Rhetoric and Political Communication” is a further goal.
Your research should focus on the development of Machine Learning techniques for Natural Language Processing, for example using Deep Neural Networks or Generative Artificial Intelligence techniques, and you should show scientific excellence in this matter. You should be able to document this primarily through outstanding, thematically relevant publications and conference or workshop contributions. Openness to interdisciplinary research is desired. 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, 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 experience and develop new, interdisciplinary forms of research collaboration as well as teaching and learning and help us shaping them.
We will make sure that you are able to fully focus on your work by our 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 to be filled by severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualification, 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 at increasing the proportion of women in research and teaching and therefore strongly encourages women to apply.
Please refer to the reference number PF-2023-05 in your application. Please apply by September 30th, 2023 in English and with all relevant application documents(letter of motivation, CV including externally funded projects and awards, list of publications, research statement, teaching statement, high school and relevant university diplomas (e.g. degree certificates, doctoral certificate (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:
If you have any administrative questions please contact the Appointments Team, .
If you have questions regarding the profile of the position, contact the Founding Chair of the Department ofEngineering,Prof. Dr. Wolfram Burgard, .