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Inria
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Postdoc in Optimisation under Uncertainty for Nonlinear Structural Dynamics Inria in France
Degree Level
Postdoc
Field of study
Mechanical Engineering
Funding
Available
Deadline
Dec 31, 2026
Country
France
University
Inria
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About this position
This postdoctoral project focuses on robust optimisation for nonlinear structural dynamics, with a particular emphasis on how uncertainty affects bifurcation behaviour in mechanical systems. The work addresses a challenging class of problems where nonlinearities can create softening or stiffening resonance peaks, multiple dynamic solutions, and bifurcations that define stability limits in parameter space.
The research is motivated by real engineering applications such as HALE/HAPS drones and aeroelastic flutter mitigation. In these systems, uncertainty in aerodynamic properties, structural mechanical characteristics, and operating conditions can significantly alter the onset of instability and the reliability of predicted designs. The postdoc will aim to develop methods that can better capture and manage these effects in optimisation workflows.
The successful candidate will work on three linked research directions: uncertainty propagation for bifurcation behaviour in stochastic nonlinear dynamic systems, robust optimisation methods for bifurcation diagrams, and approaches suitable for a realistic flutter-mitigation case study involving a HALE drone. Because the bifurcation and uncertainty propagation computations are expected to be expensive, the project will also investigate surrogate-based strategies to reduce numerical cost.
The postdoc will numerically implement, test, and compare the proposed approaches. The work is embedded in the Platon team, a joint research group between École Polytechnique and CNRS hosted by the Center for Applied Mathematics (CMAP) of École Polytechnique. The team works on uncertainty management in numerical models and advanced calibration from data, placing the project in a research environment focused on modelling, uncertainty reduction, and computational methods for engineering applications.
Supervision is provided by Enora Denimal Goy, P. M. Congedo, and B. Chouvion, who contributes expertise in flutter calculation and nonlinear aeroelastic structural modelling.
Funding details
Available
What's required
Candidates must hold a PhD in mechanical engineering, applied mathematics or a related discipline, with background in at least one of the following: non-linear dynamics, uncertainty quantification, robust optimisation or related fields. Candidates must be proficient in scientific computing. Applicants should submit a detailed academic CV with history of scientific production, evaluation documents of their PhD if available, and a cover letter detailing the knowledge, skills and experience that make them suitable for the job.
How to apply
Apply by emailing the required documents to [email protected]. Include a detailed academic CV, PhD evaluation documents if available, and a cover letter. Use the contact emails provided for further information if needed.
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