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Active Control Functions & AI Leader (m/f)

ag · Toulouse Area

New
Senior 🇬🇧 English
Machine learning CFD Neural networks Real-time data fusion Telemetry exploitation Hardware-in-the-loop validation

Job description

About the role

Airbus UpNext is launching a high‑stakes R&T demonstrator to pioneer advanced flight‑physics technologies. As the Active Control Functions & Artificial Intelligence leader, you will own the end‑to‑end deployment of active control and AI capabilities on a heavily instrumented sub‑sonic demonstrator, working closely with Overall Aircraft Design, Flight Control Systems and data‑science teams.

Key responsibilities

  • Lead the end‑to‑end roadmap for Active Control Functions, including system architecture, aircraft‑level trade‑offs and functional requirement definition for the XWing configuration.
  • Define top‑level system requirements and arbitrate functional specifications across multidisciplinary teams.
  • Deploy disruptive AI capabilities on the demonstrator and ensure alignment with Airbus AI initiatives.
  • Report progress, present flight‑test results and communicate the AI strategy to executive stakeholders and Airbus‑level AI leaders.

Required profile

  • Master’s degree or PhD in Aerospace Engineering, Automatic Control, Flight Physics or Computational Sciences with strong background in Overall Aircraft Design, Flight Dynamics, Aeroelasticity or Flight Control Systems.
  • Hands‑on experience applying machine learning to physical systems (surrogate modelling, CFD/loads neural networks, real‑time data fusion).
  • Proven ability to derive multi‑disciplinary system requirements and experience with flight‑test operations, telemetry exploitation or hardware‑in‑the‑loop validation.
  • High autonomy, strategic vision and cross‑functional leadership; ability to influence without direct authority.
  • Fluent English with strong presentation skills for executive audiences.

Required skills

  • Machine learning for physical systems
  • Surrogate modelling and CFD
  • Neural networks for loads prediction
  • Real‑time data fusion
  • Flight‑test operations and telemetry exploitation
  • Hardware‑in‑the‑loop validation

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Source : ats:workday

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Published 1 day ago

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ag

Toulouse Area