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Computer Scientist / Geoinfomatician or similar (f/m/d) as Head of a Helmholtz Young Investigator Group for the Helmholtz Artificial Intelligence Cooperation Unit (HAICU)
Published(100 days ago)
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)Oberpfaffenhofen
Start your mission with DLR
As a member of the Helmholtz Association of German Research Centers, the German Aerospace (DLR) employs more than 8,000 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 from remote 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.
For our Remote Sensing Technology Institute (IMF) in Oberpfaffenhofen near Munich, we are currently looking for a
Computer Scientist, Geoinfomatician or similar
as Head of a Helmholtz Young Investigator Group for the Helmholtz Artificial Intelligence Cooperation Unit (HAICU) "MASTR : HAICU Munich @ Aeronautics, Space and Transport" Your mission:
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 starting ideally November 1, 2019 or later.
Applying for this position requires the submission of a scientific research plan of no more than 20 pages covering the following aspects: Presentation of clearly recognizable work packages, important intermediate steps, and milestones with a timetable; Presentation of the planned cooperation and communication structures; Statement on the connection to the Helmholtz program.
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
Ph.D. in Natural Sciences, Mathematics or Computer Science with a strong connection to the research topic received in the last two to six years (this period is extended if parental leave was taken after the Ph.D.). Exceptions may be made in special cases
proven track record of applied AI and ML experience
experience with statistical learning, modelling, spatial and temporal analysis and geographical observations
extended Knowledge of unsupervised Classification methods of EO data and anomaly and change detection
experience in scientific project management
those who have already been appointed to a professorship at a German or foreign university at the time of application or who were funded by a comparable program are not eligible for application
submission of a research proposal (see above) for the YIG which requires: Presentation of clearly recognizable work packages, important intermediate steps, and milestones with a timetable; Presentation of the planned cooperation and communication structures; Statement on the connection to the Helmholtz-program
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
If you have any questions concerning specific aspects of the job, please contact Prof. Dr. Ing. Xiaoxiang Zhu by calling +49 8153 28-3531. Please find further information on this vacancy with the reference number 42721, and details regarding the application procedure, at www.DLR.de/dlr/jobs/#37336.
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