Tenure Track Assistant Professorship in the field of AI Applications in Management

The Technical University of Munich (TUM) invites applications for a Tenure Track Assistant Professorship in the field of AI Applications in Management to begin as soon as possible. The position is a W2 fixed-term (6-year) tenure-track professorship with the possibility for promotion to a tenured W3 position. The professorship is endowed by the Dieter Schwarz Stiftung and will be located in Heilbronn.

Please see for a detailed job information package: Scientific environment The professorship will be assigned to the TUM School of Management and part of the Center for Digital Transformation at TUM's Heilbronn Campus. Our unique ecosystem fosters collaboration and mutual support, especially within the Center for Digital Transformation and the Heilbronn Data Science Center. As a leading German management school, we create real impact through relevant research with strong ties to industry.

Our supportive environment encourages scholars at all stages of their careers to grow and contribute. Responsibilities Responsibilities include research and teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the research area of AI applications in management.

Applicants should study topics in one of the following areas: (1) Finance and AI (e.g., AI in financial management and decision-making), (2) Operations and AI (e.g., AI in operations and supply chain management), (3) Marketing and AI (e.g., applications in marketing and customer engagement), (4) Innovation and AI (e.g., AI-driven innovation and new business models), or (5) Behavioral Research and AI (e.g., behavioral aspects of AI use in organizations). Overall, we welcome candidates who are excited to advance research on the effects of AI on decision making, value creation, and market competition, and who enjoy working collaboratively, potentially across disciplines. Teaching responsibilities include courses in the university's bachelor's and master's programs, specifically in the Bachelor in Management and Data Science (BMDS), the Master in Management (MIM), and the Master in Management and Digital Technology (MMDT).

Qualifications We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, relative to the relevant career level (please see for further information). A university degree and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad is expected.

Our Offer Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for tenure track faculty from Assistant Professor through a permanent position as Associate Professor and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply. TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment at Bildungscampus Heilbronn.

Services and core facilities will be shared in a center model. The TUM environment is multicultural, with English serving as a common interface for scientific interaction. TUM offers attractive and performance-based salary conditions and social benefits.

The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. The MDCO assists in the relocation and integration of new professors, their partners, and accompanying family members in Heilbronn. Your Application TUM is an equal-opportunity employer and explicitly encourages applications from women.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude, and professional performance. Application documents should be submitted in accordance with TUM's application guidelines for professors.

These guidelines and detailed TUM Faculty Recruitment and Career System information are available at Here, you will also find TUM's information on collecting and processing personal data as part of the application process. Please submit your application by 19 October 2025 via the TUM recruitment portal: