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Mathematician/Physicist (f/m) or similar Spacecraft attitude restitution using machine learning technique (EOP-GMQ) for the German Trainee Programme (GTP)
The German Aerospace Center (DLR) is the national aeronautics and space research centre and the space agency of the Federal Republic of Germany.
Here, 8000 employees work together on a unique variety of topics in the fields of aeronautics, space, energy, transport, security and digitalisation.
Their missions range from basic research to the development of innovative applications and products for tomorrow. Cutting-edge research requires excellent
minds - particularly more females - at all levels, who fully achieve their potential in an inspiring environment. Launch your mission with us.
For our German Trainee Programme (GTP) in cooperation with ESRIN in Frascati, Italy, we wish to recruit a qualified
Mathematician, Physicist or similar
Spacecraft attitude restitution using machine learning technique (EOP-GMQ)
Have you (almost) completed your degree studies? Are you inspired by space exploration and keen to pursue a career in this exciting field?
If so, perhaps you should take a closer look at the German Trainee Programme. Organised by DLR, it offers you the chance to work shoulder
to shoulder with experts from the 22 member states of ESA - keeping your finger on the pulse of Europe’s space programmes. Over a period
up to 24 months, you will actively contribute to the latest research and/or technology projects. This is complemented by a generous scholarship.
What better way to launch your career in international space business? The next GTP commences on 1st February 2019.
You will join the Sensor Performance, Products and Algorithms section (EOP-GMQ), a team of 20 experts in Remote Sensing with different sensors.
You will work under the direct supervision of the Sentinel-1 Data Quality Manager, and will liaise with a distributed team of experts located
in different ESA sites, research labs and industry working in Synthetic Aperture Radar in general and improvement of platform attitude knowledge
Sentinel-1 (S-1) is Synthetic Aperture Radar working at C-band. It is a game changer in the EO SAR community thanks to the open and free data policy, the systematic processing scenario and the quality of the data.
The S-1 product family is composed of Level 1 and Level 2 products. The S-1 Level 1 products are the classical SAR images providing the backscattered signal.
The L2 products are derived from the L1 and are converting the SAR signal into geophysical variables. The S-1 L2 products provide up to three ocean field
related variables related to the wind, the swell and the currents.
The current retrieval is based on the so-called Doppler oceanography that might be the focus of other potential ESA missions like SKIM (Earth Explorer 9 candidate).
The currents retrieval from S-1 is not possible today due to the limited knowledge of the platform attitude. It has been demonstrated that attitude restitution
on-ground outperforms the attitude determination performed by the on-board Attitude, Orbit and Control System (AOCS). However, the current ground restitution
process doesn’t allow capturing all the platform variations as measured by the SAR. Therefore, the fine tuning of the ground-restitution requires to optimize
different parameters related to the gyroscopes and star-tracker with a long and iterative process.
The purpose of the work is to develop a process based on machine learning to optimise the ground attitude restitution process with the final goal of enabling the currents retrieval from SAR.
strong expertise in mathematics and physics
strong competence in machine learning based on neural networks on a practical point of view
excellent computing science skills (in depth knowledge of a programming language)
familiarity with spaceborne remote sensing is desirable
familiarity with the physics of sensor like star tracker or gyroscopes is a plus
German citizenship is absolutely necessary
applicants should have just completed (conclusion not older than two years) or be in their final year of a university course at Master's level in a technical or scientific discipline
candidates must be fluent in English or French, the official languages of the Agency
We look forward to your e-mail application in English, citing GTP-2019-EOP-GMQ to GTP@dlr.de.
Closing date for this position is 6th September 2018. The interviews are tentatively scheduled for week 45/2018. Please visit the
German Trainee Programme page for details of our application procedures. Your application should consist of a motivation letter
and your CV only (CV exclusively in Europass format). Unfortunately we cannot consider further documents. Disabled applicants with
equivalent qualifications will be given preferential treatment. If you have any initial questions, please feel free to contact Ms.
Larissa Seidlez: firstname.lastname@example.org.