STAGE 2027 - Stage en Optimisation MDAO pour Systèmes Complexes (h/f)
Core
Integrate uncertainty management into the design process of complex defense and space systems, balancing performance and robustness through stochastic optimization.
Role type
Intern, Multi-Disciplinary Design Optimization (MDAO) Engineer
Builds
Simulation demonstrators for satellite constellations and multi-domain connectivity systems
Domain
Aerospace / Defense / Space Systems
Deliverable
production ML models | product features
Required skills
System engineering, System architecture (MBSE/MDAO), Numerical optimization, Uncertainty quantification, Trade-off analysis
Preferred skills
Stochastic optimization, Mixed discrete/continuous optimization, Robust optimization
Technologies
GEMSEO, SMT, Hexaly, pSeven, OpenTurns
Responsibilities
Review MDAO simulation capabilities and uncertainty propagation methods; Define MDAO formulations from disciplinary model metrics; Implement a demonstrator for a specific system-of-systems case study; Propose simulation objectives and scenario improvements.
Seniority
Student Intern