As our current Coordinator is taking an exciting 👏 next step in their academic career to transition into a professorship 🎓, a wonderful opportunity has opened to join our team.
If you are interested in working at our innovative and interdisciplinary school, where you can help shape the research and education of the next generation of experts in reliable AI, we encourage you to check out the job posting.
If you meet the qualifications and would like to apply, please submit your application by June 14, 2026.
Coordinator of the Konrad Zuse School of Excellence in Reliable Artificial Intelligence (m/f/d)
The Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI), founded in 2022, is one of three DAAD funded AI schools in Germany. relAI is a joint endeavor of TUM and LMU and has quickly become an international lighthouse for education and research in reliable AI in Germany. More than 100 MSc and doctoral researchers participate simultaneously, supervised by more than 50 professors. Our network includes international AI centers, non-university research organizations and various industrial partners. relAI opens up career paths in academia and industry to talented young researchers from around the world. The coordination office of this graduate school is located at and embedded in the infrastructure of the Munich Data Science Institute (MDSI) – an Integrative Research Institute at the Technical University of Munich (TUM) with an interdisciplinary and cross-faculty focus in the field of data science, machine learning and A
As the Coordinator of relAI you will be responsible for managing school-wide and extra-school activities.
Key responsibilities:
- Developing and organizing events and training courses, e. g. career fairs, seminars, symposia, workshops, seasonal schools, retreats and conferences
- Reporting to the directors, the DAAD and various stakeholders
- Serving as the primary point of contact for our fellows and for our academic and industrial partners
- Developing and executing recruitment strategies for the school´s candidates
- Overall responsibility for the school's budget monitoring and financial reporting in coordination with TUM’s central administration; overseeing the allocation of funds and maintaining the comprehensive records and databases of the relAI network
- Implementation and maintenance of efficient project management structures to ensure smooth daily operations of the graduate program.
- Coordination of the application for project continuation after 2027.
Your qualification:
We are looking for a reliable and collaborative person able to manage a broad range of tasks and responsibilities with
- Postgraduate degree (MSc or equivalent), combined with a certain affinity for data science, machine learning and AI
- Professional experience in project management and/or science management, ideally in coordinating university programs or graduate schools
- Leadership skills and a good intercultural understanding, high motivation, flexibility and reliability
- Fluent in German and English, written and spoken, negotiating skills
- Beyond standard MS Office, experience in managing digital collaboration tools and technical infrastructures is highly desirable (e.g., mailing lists, basic SQL databases, or content management systems for website maintenance).
We offer:
- Full responsibility from the start in an innovative environment and with real impact on the data science ecosystem at TUM and in Munich
- International, attractive, and interdisciplinary working environment across different departments and disciplines
- Salary according to TV-L (depending on qualification up to E13) including social benefits.
Application:
The position can start immediately, and the contract duration is initially limited until December 31, 2027; a further extension is envisioned, subject to continued project funding. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications. If you are interested, please apply until June 14, 2026 with a cover letter (stating also your earliest date of entry), CV and relevant certificates plus reference letters via email to application@mdsi.tum.de (please attach a single PDF file and use the subject Coordinator relAI).
As part of your application for a position at the Technical University of Munich (TUM), you are transmitting personal data. Please note our data protection information in accordance to Art.13 General Data Protection Regulation (GDPR) for the collection and processing of personal data in the context of your application (https://portal.mytum.de/kompass/datenschutz/Bewerbung/). By submitting your application, you confirm that you have taken note of TUM´s data protection information.
Contact:
https://zuseschoolrelai.de/
Email: coordinators@zuseschoolrelai.de
Technische Universität München
Munich Data Science Institute
Konrad Zuse School of Excellence in Reliable AI
Walther-von-Dyck-Straße 10
85748 Garching bei München
