Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- Utrecht University
- Erasmus University Rotterdam
- University of Amsterdam (UvA)
- KNAW
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Zuyd University
- Amsterdam UMC
- Delft University of Technology
- Erasmus University Rotterdam (EUR)
- Leiden University
- Maastricht University (UM)
- RiboPro B.V.
- Wetsus - European centre of excellence for sustainable water technology
- 6 more »
- « less
-
Field
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are an open knowledge
-
Experience of ground segment operations, in particular for Earth observation missions Good knowledge of ESA and industrial implementation and procurement processes Good knowledge of security processes and
-
resilience nodes) as well as the national projects (third-party agreements with Italy, Greece, Spain and Poland). You will liaise closely with the Copernicus Space Office, the Ground Segment Department (ground
-
knowledge transfer across the Agency. Technical competencies Strong background and experience in the development and procurement of network-intensive ground systems, including cyber security- and security
-
of the Earth Observation Mission Management and Ground Segment Department, you will be responsible for the coherent management and strategic integration of the ERS-EO Downstream, End-to-end Proof
-
learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
-
Location ESOC, Darmstadt, Germany Description Ground Station Engineer in the Station Subsystems and Configuration Control Section (OPS-GSS), reporting to the Head of Section, Ground Station
-
, including mature and qualified technologies, and the creation of the Celeste in-orbit validation end-to-end system; The associated system engineering, technology development, ground segment, launch services
-
explainable AI (XAI) methods with user-centred interaction design, combine machine learning with alternative AI methodologies (e.g., rule-based reasoning, knowledge graphs, hybrid approaches where relevant
-
is known about these images. There are, however, strong reasons to assume that their content provides important information about unprocessed aspects of the loss, thereby offering insight