80 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Université-de-Haute-Alsace" positions at European Space Agency in Netherlands
Sort by
Refine Your Search
-
language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
-
to offer a coherent, system-level perspective to guide its strategic evolution notably in the context of machine learning/artificial intelligence numerical, weather, ocean and climate prediction systems. By
-
close collaboration with other discipline experts, such as software, microelectronics and applications engineers. * except for RF payloads. ** including artificial intelligence and machine learning
-
advanced techniques (such as digital beamforming or machine learning/Al techniques) supporting instrument operation and operative modes; onboard data compression; onboard data encryption; ASICs and devices
-
of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional
-
space transportation and information engineering Knowledge of machine learning and artificial intelligence applications in data processing Proven experience in the design and development of data
-
on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
-
Knowledge of EO space mission operations and operations planning Knowledge of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in
-
characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional requirements You should
-
or hands-on hardware (including integration) experience Artificial Intelligence and Machine learning techniques for AOCS applications and engineering The motivation for supporting engineering laboratory