73 embedded-systems-"https:"-"https:"-"https:"-"https:"-"UCL" positions at European Space Agency in Netherlands
Sort by
Refine Your Search
-
Apply now » Navigation Systems Evolution Engineer Job Requisition ID: 20368 Date Posted: 8 October 2026 Closing Date: 22 October 2026 23:59 CET/CEST Publication Method: Internal & External Type of
-
Apply now » Guidance, Navigation and Control (GNC) Systems Engineer Job Requisition ID: 20732 Date Posted: 2 July 2026 Closing Date: 13 August 2026 23:59 CET/CEST Publication: Internal & External
-
Apply now » AOCS and Pointing Systems Engineer (3 Positions) Job Requisition ID: 20731 Date Posted: 15 September 2026 Closing Date: 29 September 2026 23:59 CET/CEST Publication Method: Internal
-
Apply now » Internal Research Fellow in Safety Assurance of AI-Enabled Autonomous Systems for Human Spaceflight Job Requisition ID: 20889 Date Posted: 17 September 2026 Closing Date: 8 October 2026
-
close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
-
Ariane 6 Exploitation Monitoring System Engineer, Ariane Programme Department, Directorate of Space Transportation. In this role, you will be embedded within the ArianeGroup exploitation team in
-
in outreach activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the
-
Graduate Trainee in the Space Safety Programme Coordination Office, you will support the Head of Office in all their duties. You are encouraged to visit the ESA website: https://www.esa.int Field(s
-
the space missions from study to the end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight, and archive and curate the
-
practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with high-impact space