Sort by
Refine Your Search
-
) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
-
learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
-
of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
-
the full mission lifecycle from early design through operations and lessons learned. The group leads the definition, harmonisation and validation of FDIR concepts, requirements and architectures, and
-
management and communication skills; The ability to drive your team's performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; Strong
-
regulations & eligible to acquire the security clearance by their national security administrations. During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally
-
assessment of launch campaigns, contributing to the monitoring of technical issues, anomaly investigations, corrective actions and lessons learned; supporting the maintenance and qualification status of launch
-
control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During the recruitment process, the Agency may request applicants to undergo
-
networking, development of ESA-enabled learning opportunities, and the progressive establishment of federated partnership models with universities in support of future-oriented skills, visibility, mobility and
-
close collaboration with other discipline experts, such as software, microelectronics and applications engineers. * except for RF payloads. ** including artificial intelligence and machine learning