Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, or related fields. Candidates are expected to have a demonstrable interest in bio-inspired neural networks and probabilistic approaches, and to have an excellent command of English. Needed
-
, aligned with a model-based system engineering paradigm; Developing and curating reference asset architectures, threat and control catalogues for instantiating space system risk assessments; Deriving formal
-
are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
-
); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
-
below. developing your knowledge of ECSS (European Coordination for Space Standards) and your understanding of the ECSS Next Generation (ECSS NG) requirements during this period. Regarding the support for
-
-propulsive design and integration of the internal and external flow path for the test bed using advanced high-speed airbreathing engines, particularly addressing operation over a wide Mach range. This
-
spacecraft data management; monitoring and control systems, including for pre-launch, and testing procedures; electrical ground support equipment and system checkout equipment. In the context of digital twin
-
past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed
-
C++, capable of performing high-fidelity, differentiable attitude and orbit control simulations of spacecraft and their environment. This new system will be user-friendly, portable and easily
-
of AI can be highly beneficial are: requirement engineering: supporting the creation or improvement of requirements, and requirement flow-down verification; system and subsystem modelling: generation