Post-doc - Méthodologie De Prédiction De Fiabilité Precooler Par Couplage Thermo-mécano Probabiliste

Liebherr Machines Bulle SA

Toulouse, France
On-site
Thermo-mechanical probabilistic coupling
Numerical predictive models
Uncertainty quantification and propagation
Develop an integrated methodology for uncertainty quantification and propagation for heat exchanger life and reliability prediction

Job Summary

  • Develop an integrated methodology for uncertainty quantification and propagation for heat exchanger life and reliability prediction.
  • Apply the methodology to a real Precooler case, ensuring reusability for future developments.
  • Collaborate closely with Multiphysics, Exchanger, and Pack product teams in a stimulating multidisciplinary environment.

Matching Summary

Develop an integrated methodology for uncertainty quantification and propagation for heat exchanger life and reliability prediction.

Skills & Requirements

Must-have

  • Thermo-mechanical probabilistic coupling
  • Numerical predictive models
  • Uncertainty quantification and propagation
  • Python programming (NumPy, SciPy, matplotlib)
  • Probabilistic methods and statistics

Nice-to-have

  • Innovative methodological solutions
  • Adaptability to industrial constraints
  • Effective multidisciplinary collaboration
  • High-performance computing experience

Key Requirements

  • PhD in Mechanics, Thermal, Reliability, or Applied Mathematics
  • Specialization in multiphysics modeling, numerical simulation, and statistics
  • Experience with Finite Element Methods (Altair - Hyperworks)
  • Experience with probabilistic methods (stochastic processes, Bayesian inference, Monte Carlo methods)
  • English language proficiency

Work Rights

Not specified

Tailored Resume

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