Science Manager
Technical University of Munich

Science Manager for the International Future Lab “AI4EO”

16.08.2021, Wissenschaftliches Personal

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The International Future Lab “AI4EO: Artificial Intelligence for Earth Observation – Reasoning, Uncertainties, Ethics and Beyond” brings renowned international organizations across the globe and a rich number of highly ranked scientists at all levels together to address three fundamental challenges in Earth observation specific cutting-edge artificial intelligence research –Reasoning, Uncertainties, and Ethics. The research carried out in the Future Lab AI4EO will not only advance Earth observation science but also make key contributions for the interpretability of AI and its ethical implications, and towards AI4EO technology transfer.
TUM serves as the host institution for the Future Lab AI4EO, represented by the Professorship “Data Science in Earth Observation” (Prof. Xiaoxiang Zhu). Consistently ranked among Europe’s leading universities, TUM has recognized the challenges emerging in the digital age and is already spearheading the advancement of Al research from fundamental stages via applied research to the study of Al’s social implications. In this context, the DLR is a strong partner. Together with LMU, Helmholtz Center Munich and Max Planck Institute for Plasma Physics, DLR and TUM established the Munich School of Data Science (MUDS) to train the next generation of “data scientists” – interdisciplinary experts in applying, adapting, and developing methods for AI and data science tailored for a broad array of research domains, including EO. In addition, DLR founded the local Helmholtz Artificial Intelligence Cooperation Unit (HAICU) – MASTr (Munich Unit @ Aeronautics, Space and Transport), which is providing AI expertise from EO, robotics, computer vision and HPC/HPDA support. DLR also started strategic cooperation with Leibniz Supercomputing Centre, e.g. through recently signed cooperation agreement “Terra Byte”, which shall enable the highly efficient and independent analysis of large amounts of data using the latest methods to understand global trends and their consequences. This further strengthens the already existing network of collaboration.

The Lab will be physically located at the new campus of TUM in Taufkirchen/Ottobrunn, where TUM currently has established its new Department of Aerospace and Geodesy as part of the Bavarian space initiative. Besides TUM, the area also hosts the University of Federal Armed Forces, Munich Aerospace, and several EO and space industry partners (e.g. Airbus, Siemens, and IABG), thus providing the ideal location for knowledge and technology transfer. In addition, two further institutions, namely Munich Data Science Institute (MDSI) and the TUM Institute on Ethics in AI, are strong partners, who will provide data science theoretical support and ethical guidance to AI4EO.


The highly visible position of the Lab with its internationality and the close connection to other Institutes requires a respective Management. You will be in close contact with our international Guest Professors and our motivated Young Fellows, as well as with colleagues from the partners form the German Aerospace Center and TUM.
Through this advertised position the Future lab is expected to be supported mainly through appropriate science management, as well as to seek new collaborations. You will also initiate, implement and manage new scientific projects in the field of artificial intelligence for earth observation.
In addition, independent, scientific research on the topic of AI for Earth observation will be supported.


  • PhD in computer science, geoinformatics, data science, business administration, or comparable field of study
  • professional experience in Earth observation and/or Data Science
  • Background of general AI Methods, ideally applied on EO data
  • very good knowledge in the area of scientific project application as well as the German research landscape
  • good experience in the field of scientific communication ('Science Communication')
  • experience in project management
  • fluent command of the German language and very good knowledge of the English language, both written and spoken
  • excellent communication and cooperation skills, ability to interact with scientists at different levels
  • Fluent in spoken and written German language
  • very good knowledge of spoken and written English language
  • ability to work highly motivated and independently in a team


  • good graphic design skills with tools such powerpoint and photoshop is welcomed
  • experience in website design

Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L, up to E14 level). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

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Kontakt: Interested candidate please send your motivation letter, CV, and supporting materials with the key word Science Manager
For further Questions on this position, please contact Dr. Anja Rösel:

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