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Junior Professorship (W1) (for a period of 3 years) of Artificial Intelligence in the Arts and Arts Studies

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Ludwig-Maximilians-Universität München

Geschwister-Scholl-Platz 1, 80539 München, Germany

5 Star Employer Ranking

Junior Professorship (W1) (for a period of 3 years) of Artificial Intelligence in the Arts and Arts Studies

As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences.

The Faculty of History and the Arts invites applications for a

Junior Professorship (W1) (for a period of 3 years)

of Artificial Intelligence in the Arts and Arts Studies

commencing as soon as possible.

We are looking for someone with a strong academic background in art studies, as well as proven methodological and technical knowledge in the field of AI. Candidates should have a background in art history, media, music or theatre studies, with a focus on digital methods and AI. Alternatively, they should possess a computer science or digital humanities background, with an art or cultural studies orientation. We are looking for an interdisciplinary profile that combines technical expertise with reflection on art. This can be demonstrated through relevant publications in international journals, the successful acquisition of third-party funding, and involvement in relevant projects. Practical experience in interdisciplinary research and teaching at the intersection of AI technologies and art studies is also required. Experience in developing digital methods or tools for accessing, analysing or communicating artistic content would be advantageous. The successful candidate will be able to draw on existing structures within the Department of Arts and at LMU Munich and will be expected to build bridges between humanities theory and technical approaches to AI, thereby contributing to the development of AI and digital humanities in research and teaching. We welcome cooperation with national and international research institutions, as well as participation in the development of new research initiatives within the Department of Arts.

Prerequisites for this position are a university degree, teaching skills at university level and an aptitude for an academic career, usually evidenced by the excellent quality of a doctoral degree. No more than four years should have passed between the doctorate and the end of the application period. This period is extended by up to two years per child or nursing case if the applicant is caring or has cared for one or more children under the age of 18 or one or more relatives in need of care.

The position is a fixed-term professorship for the duration of three years. Pending a positive evaluation, the position may be extended by another period of three years. A conversion to an indefinite position (tenure track) is not possible.

LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples.

LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference.

Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates as well as a list of publications and teaching experience in electronic form to the Dean of the Faculty of History and the Arts, Prof. Dr. Julia Burkhardt, Ludwig-Maximilians-Universität München, Geschwister-Scholl-Platz 1, D-80539 München no later than 10. May 2026 (date of receipt): https://www.efv.verwaltung.uni-muenchen.de/w1kikk (registration required).

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