Robust Control Engineer And Artifical Intelligence
Randstad Italia Inhouse Services is currently recruiting a Robust Control Engineer and Artificial Intelligence, for an aerospace client based in Rome. responsabilitàThe job holder will be in charge of contributing to all the phases of the AOCS Sub-System lifecycle, starting from the phase A/B feasibility and study, through the phase C/D design and implementation up to the in-flight activities during phase ;Manages the AOCS subsystem architectural and technical design.
It also includes the implementation and execution of tests at Avionic Test Bench and support AIT at Satellite level, documentation of V&V activities in VCD.
It is expected to support satellite launch and flight phases, including simulations, LEOP, IOT and on-orbit maintenance.
In particular the Robust Control Engineer and Artificial Intelligence, will be responsible for:
AOCS architecture definition, sizing and justification Attitude perturbations environment analysis AOCS HW units specification and technical management Propulsion S/S configuration and sizing AOCS modes design, implementation and verification AOCS control system design and analysis reports Attitude estimation algorithms design, implementation and verification MATLAB-Simulink automatic code generation AOCS & SYS FDIR design, configuration and validation Avionics V&V activity at SDVE and ATB level S/C dynamics and AOCS Units modeling and performances analysis at System and Sub-system levels, including:
- MATLAB AOC Development Environment (M-ADE)
- AOC&N DEveLopment Environment (ADELE)
- AOC&N Code Generation Environment (HARDCORE)
- SW Development and Validation Environment (SDVE)
Master Degree in Aerospace Engineering, with explicit focus on attitude control, or in Control Systems Engineering.
Fluent in English (C1 and above certification) both listening and ; At least 5 years of experience in similar position with at least an experience on Earth Observation, Navigation or Telecom platform / spacecraft design and test phases up to the launch / LEOP and ; Also required is knowledge in the following areas:
kinematics a dynamics of rigid bodies with gyroscopic stiffness and flexible appendages AOCS sensors and actuators technology optimal estimation theory robust control theory Matlab/Simulink, C++ and Python programming AOCS engineering standards ECSS-E-ST-60 ECSS Packet Utilization Standard (PUS) Orchestra Suite (PV:
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