Sort by
Refine Your Search
-
Category
-
Field
-
activities, including participation in reviews General background and experience in the technical domains covered by the position, specifically in artificial intelligence/machine learning modelling
-
, machine learning techniques, high accuracy and high stability pointing, AOCS development process and tools, AOCS systems digitalisation, AOCS FDIR, and AOCS integration in avionics systems); Contributing
-
completing a PhD in a relevant field such as data science, AI, Computer Science, machine Learning, Earth System Science, Climate etc.. with the subject of your thesis being relevant to the description
-
Education You should have recently completed (within the past five years) or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, Machine Learning, Earth System Science
-
maintenance and evolution of the tools described above in order to maintain a complete overview and control of the Unit’s software infrastructure; Generating lessons learned and contributing to the knowledge
-
learning path that complements their academic education. The ESA Academy programme comprises of three main segments: An academic TRAINING programme which offers individuals a portfolio of highly qualifying
-
contributions to corporate tasks, such as reviews, standardisation, alerts and lessons learned, you will report to the Head of the Product Assurance and Safety Department through the Head of the Navigation
-
results, monitoring variance, identifying trends, preparing reports; Supporting the implementation of machine learning and Artificial Intelligence elements in the financial planning and consolidation