Estimation Scientist III R&D
Honeywell International Inc
Brno, CZ
před 11 dny

Innovate to solve the world's most important challenges

Honeywell Aerospace offers an opportunity for a talented control and estimation scientist to join Advanced Technology organization in Brno, Czech republic.

You will work in the Electro-Mechanical Systems department on the development of innovative aerospace technologies in the field of actuation and motor control, pushing the boundaries in performance and power density.

As a member of cross-functional team, your work will span from the early stage technology research up to the prototype demonstration in the relevant environment.

This role assumes ability to deal with challenging and often conflicting design requirements in an innovative way. If you like to learn new things and enjoy being challenged by work beyond the state of the art, you might be the right person.

Your specific role will include :

  • Design of state estimation algorithms for complex aerospace systems, ranging from electro-mechanical actuators to power electronics and motor drives.
  • Optimization of the developed algorithms for safety-critical real-time implementation
  • Develop dynamical models of complex electro-mechanical systems, including components nonidealities
  • Perform simulations, analysis and verification of developed estimators using high-fidelity models,
  • Design test campaign in V&V environment, perform DoE and Montecarlo simulations to analyze worst case conditions
  • Support prototyping and implementation of estimation algorithms into embedded platforms
  • Support the integration of estimators / observers in the control strategies
  • and potentially also :

  • Collaboration on the failure mode effects analysis from the system point of view
  • Support the control implementation activities
  • Qualifications

  • M.Sc. or (preferably) PhD. in Control, Estimation, Electrical Engineering, or other relevant field
  • Deep knowledge of estimation theory, including Kalman filter and linear observer techniques
  • Proven experience in estimation algorithms research or development
  • Experience in modelling of physical systems
  • Knowledge of (Power) Electronics and mechanical systems
  • Proficiency using MATLAB / Simulink
  • Good mathematical background
  • Good command of English (both written and spoken)
  • Preferred :

  • Research experience in aerospace field, or desire to quickly learn this domain
  • Deep knowledge of control theory
  • Experience with control algorithms implementation
  • Experience with optimization, and / or numerically stiff systems simulation
  • Experience with embedded estimators / control implementation in DSP or FPGAs
  • Experience in low-latency real-time implementation of estimation / control algorithms
  • INCLUDES

  • Continued Professional Development
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