48461: Computer Scientist, Data Scientist or similar - Head of a Helmholtz Young Investigator Group - Helmholtz Artificial Intelligence Cooperation Unit (HAICU) “MASTR : HAICU Munich @ Aeronautics, Space and Transport”

German Aerospace Center (DLR)

Oberpfaffenhofen, Germany

Work group:

Remote Sensing Technology Institute



Area of research:

Scientific / postdoctoral posts



Job description:


As a member of the Helmholtz Association of German Research Centers, the German Aerospace (DLR) employs more than 8000 people at 20 locations. The department “EO Data Science” at the Remote Sensing Technology Institute (IMF-DAS), located at the DLR in Oberpfaffenhofen is developing novel signal processing and AI algorithms to improve information retrieval fromremote sensing data, in particular those from current and the next generation of Earth observation missions and deliver crucial geo-information to address social grant challenges, such as urbanization and climate change.


The Helmholtz Artificial Intelligence Cooperation Unit (HAICU) platform aims to enhance the research within the Helmholtz Association with applied AI methods. For that each research area of Helmholtz operates one HAICU unit to work on short, medium and long term AI projects. Further information about HAICU and the Helmholtz-Incubator is available at www.haicu.de.


IMF-DAS operates the local HAICU unit “MASTr: HAICU Munich @ Aeronautics, Space and Transport”. It consists of a Young Investigator Group (YIG) in Earth observation and an AI Consulting Team, providing the expertise from Earth Observation, robotics, computer vision and an HPC/HPDA support unit.


The specific research focus of the YIG is “Large-Scale Data Mining in Earth Observation”. This includes research towards large-scale data indexing and retrieval, especially in peta-scale data archives of former, current, and future EO missions. We expect a strong focus on unsupervised information extraction and anomaly detection.


Based on this concept, the ideal candidate will have a proven track record in fields related to statistic learning, modelling, machine learning and spatio-temporal analysis, interest in geographic observation and an open and collaboration-oriented mindset. The YIG shall be located at the Remote Sensing Technology Institute (IMF), Oberpfaffenhofen. In addition, the YIG leader will be appointed to the Technical University Munich (TUM) and be granted the attractive status of a “TUM Junior Fellow”, comparable to a junior professor, including the right to be the first supervisor of his/her PhD students (“Promotionsrecht”).


The YIG is set up as a five year tenure track process towards permanent positions.


Your tasks will be:


Leadership of the junior research group, including supervision/co-supervision of PhD students internationally visible novel research work with large scale EO data development of algorithms – and possibly a prototype processing system – for spectral-/spatial-/temporal unsupervised learning and anomaly detection a focus should be on multi-modal (radar, optical) remote sensing time series data development of preferably generic software solutions relevant use cases shall be developed, e.g. together with Helmholtz centers of Earth and Environment a tight co-operation with the co-located AI consultant team is required for mutual benefit collaboration with the other HAICU units, TUM and other regional, as well as international partners

We offer:


high scientific professional networking as well as scientific excellence internationality and diversity TUM Junior Fellow status interesting and diverse tasks, flexible working hours, salary based on the collective agreement TVöD-Bund equality of opportunity and family-friendly structures, corporate health management attractive work and research terms in a highly motivated lab

Please apply via recruiter’s website.

Quote Reference: 48461