Open professorships in Nuremberg, Germany (Generative AI)

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Claire Vernade

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Jan 13, 2026, 2:34:53 PM (12 days ago) Jan 13
to Women in Machine Learning

Dear Colleagues,

The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future—designed for the age of artificial intelligence and constant technological, economic, and societal change. UTN is building a leading international institution with a strong focus on Artificial Intelligence, equally committed to excellence in research, teaching, and knowledge transfer.

UTN’s lean governance structure enables agile decision-making and rapid implementation of new ideas. Its sustainable 37-hectare, partly residential campus will become the heart of a new district in Nuremberg, close to the historic old town. In the coming years, approximately 6,000 students will learn and work alongside around 200 professors and a growing international academic and administrative staff.

The academic organization of UTN is based on Departments as central structural units. The Departments of Computer Science & Artificial Intelligence and Liberal Arts & Social Sciences are already established, while three further Departments—Biological Engineering, Mechatronic Engineering, and Natural Sciences—are currently in development. UTN departments are characterized by flat hierarchies, strong interdisciplinary collaboration, and attractive, forward-looking career paths.

Most degree programs at UTN are taught in English. German and English are the working languages in administration, teaching, and research, with German as the official legal language. UTN actively leverages digital technologies and AI to enhance university life and work culture and is deeply committed to openness, diversity, and inclusion.

Located in one of the most innovative regions of the EU, the Nuremberg Metropolitan Region offers affordable living costs, a high quality of life, excellent public transport, and outstanding connections to European and international travel hubs.

Open Positions

The University of Technology Nuremberg invites applications for up to two positions, to be filled at the earliest possible date, as:

Professor (m/f/d)
(Open Rank: W3 or W2 with Tenure Track to W3)
of Generative AI
at the Department of Computer Science & Artificial Intelligence

Your Role

You will represent the field of Generative AI in both research and teaching and play a central role in shaping the Department of Computer Science & Artificial Intelligence. You are expected to collaborate with leading international researchers and engage in interdisciplinary projects across UTN.

Your research should demonstrate strong practical relevance and international visibility, complemented by active participation in public outreach. You will contribute to interdisciplinary third-party funding initiatives and supervise Bachelor’s, Master’s, and doctoral research projects.

Your Profile

The positions are open to both early-career researchers with strong academic potential and established scientists with a proven record of excellence.

Candidates should demonstrate outstanding expertise in Generative AI, including (but not limited to):

  • Large Language Models

  • Training and inference optimization

  • Vision–language and vision–language–action models

  • Generative audio models

  • Foundation models for robotics

  • Generative tactile models

  • Multimodal generative AI

  • Privacy, responsibility, and trustworthiness in foundation models

W2 (Tenure Track) candidates should show academic excellence through high-quality publications and initial success in acquiring external funding, along with teaching and supervision experience.

W3 candidates must demonstrate international recognition, proven interdisciplinary research achievements, substantial success in competitive funding, leadership experience in managing research groups, and extensive teaching and doctoral supervision experience.

At all career stages, we seek candidates who embrace UTN’s innovative structures, value diversity and gender equality, and bring an inclusive mindset. International academic experience and a strong team-oriented attitude are highly desirable.

Teaching & Academic Engagement

Successful candidates will contribute to existing and future English-taught degree programs, participate in curriculum development, and help implement innovative digital teaching and learning concepts. A strong commitment to interdisciplinary collaboration is essential.

Legal Requirements

Hiring requirements are defined in Articles 57 (1) and 60 (3) of the Bavarian Higher Education Innovation Act (BayHIG) and include a completed university degree, pedagogical and personal aptitude, and demonstrated ability for independent research (typically evidenced by a doctoral degree and additional academic achievements).

What We Offer

UTN is rethinking the university at every level. We offer:

  • A highly motivated, international research environment

  • Opportunities to shape new interdisciplinary research and teaching formats

  • Modern, service-oriented administrative support

  • A strong commitment to diversity, equal opportunities, and family-friendliness

  • Flexible working arrangements, family-friendly scheduling, and dual-career options

UTN actively encourages women to apply and gives preference to severely disabled applicants where qualifications are equivalent.

How to Apply

Please reference PF-2025-07 in your application.
The application deadline is January 31, 2026.

Applications must be submitted exclusively via the online application portal and include the following documents in English:

  • Cover letter

  • CV (including externally funded projects and awards)

  • Publication list

  • Research statement

  • Teaching statement (aligned with UTN’s innovative teaching concept)

  • Degree certificates and doctoral certificate (if applicable)

  • Four selected publications representing your research profile

Guidelines for the teaching statement are available here:

Contact

For administrative questions, please contact:
Appointments Team – appoin...@utn.de

For questions regarding the position profile, please contact:
Prof. Dr. Wolfram Burgard
Founding Chair, Department of Computer Science & Artificial Intelligence
wolfram...@utn.de

Information on data protection can be found at:
https://www.utn.de/en/privacy/

Kind regards,
Claire Vernade

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