Professor (Open Rank: W3 or W2 With Tenure Track to W3) of Generative AI

About us:

The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – ready for the age of artificial intelligence and constant technological, economic, and social change. Aiming to become a leading international institution with a focus on artificial intelligence, UTN is equally committed to excellence in research, teaching, and transfer. Its lean governance structure supports an agile and efficient implementation of its vision. Its sustainable, 37-hectare and partly residential campus will form the heart of a new district in Nuremberg, not far from the historic old town. On its campus, around 6,000 students will learn from and work with around 200 professors and numerous academic and administrative staff. The academic organization of UTN is based on Departments as central structural units. Departments at the UTN are characterized by flat hierarchies and offer exciting opportunities for challenging and rewarding career paths. UTN attaches great importance to interdisciplinary cooperation, such as interdisciplinary research on themes for which research outputs can bring about major benefits to our society and its economy. Most degree programs at UTN are offered in English. German and English are the languages of work in administration, teaching, and research, while the official and legal language is German. Digital technologies, AI and innovative applications are used in a targeted manner to improve university life and work experience for everyone. UTN is characterized by an open and inclusive culture where everyone feels welcome. Diverse backgrounds, perspectives and experiences of staff, students and stakeholders help to achieve excellence and develop talent. The Nuremberg Metropolitan Region is one of the most innovative regions in the EU. It impresses with affordable living costs, high quality of life and an urban culture close to nature. It also offers an excellent regional transport network and good connections to European travel routes and international transport hubs in Germany.

The University of Technology Nuremberg is looking to fill, at the earliest possible date, up to two positions as

Professor (M/F/D) (Open Rank: W3 or W2 With Tenure Track to W3) of Generative AI

at the Department Computer Science & Artificial Intelligence.

Interested?

You can find the link to the application portal as well as more detailed information about the position, our scientific career model and the appointment procedure by clicking the 'Apply' button

Please refer to the reference number PF-2025-07. in your application. Please apply by January 31^st 2026 in English and with all relevant application documents (cover letter, CV (including externally funded projects and awards), publication list, research statement, teaching statement (referencing our innovative UTN teaching and learning concept), degree certificates, doctoral certificate (if applicable), and any other relevant credentials, as well as four publications that best represent your research profile). Applications should be submitted exclusively via our online application portal.

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