137 computer-algorithm-"St"-"Washington-University-in-St"-"St" positions at European Space Agency
Sort by
Refine Your Search
-
will do You will be responsible for helping to define algorithms necessary to the estimation of the estimation of per-pixel uncertainties measurement associated to level 1 and level 2 data products and
-
, Radio Science and Time Transfer functions. The responsibilities include the definition of concepts and algorithm, System/Segment/Payload-System architecture and trade-offs, performance and budgets
-
-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
-
-1NG is the successor of the Earth Observation Copernicus Sentinel-1 SAR mission. Copernicus is the most ambitious Earth observation program to date. It is a cornerstone of Europe’s efforts to monitor
-
, computer science, mechatronics, AI, or a related engineering field; Programming experience in current programming frameworks such as Python and C++; Understanding of control principles, algorithms, and 3D
-
simulated data and ground-based test datasets. The selected intern will become familiar with the Ariel pipeline’s structure and algorithms and will have the opportunity to directly compare its performance and
-
the AI algorithms state of the art for crater detection. generate an overview of available meta data in coordination with the game developers. identify potential use cases in the science community and
-
Location ESRIN, Frascati, Italy Description Data Quality and Cal/Val Manager for Atmospheric Sensor Missions in the Sensor Performance, Products and Algorithms Section, Earth Observation Mission
-
will: be part of the flight control team of Solar Orbiter. analyze the existing manual workflow and optimize it for automation. develop the algorithm which operates the planning system using the command
-
”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc. Many of the challenges posed by new