Postdoc: Bayesian Calibration for Structural Dynamics

INRIA; France; On-site; EUR 27,000 - 33,000; Full time

Job summary

INRIA Saclay - Île-de-France invites applications for a postdoctoral position in Bayesian calibration of numerical models for structural dynamics. The project focuses on calibrating uncertain parameters to align FE/numerical responses with measured data, using Bayesian inference and model updating techniques.

The candidate will work within the Platon team at CMAP, collaborating with experts in uncertainty quantification and engineering applications.

Qualifications

• PhD required in mechanical engineering or applied mathematics or related field.
• Proficient scientific computing and exposure to numerical modeling.
• Experience with uncertainty quantification and structural dynamics is highly desirable.

Responsibilities

• Develop a Bayesian calibration framework for structural dynamics problems.
• Identify key quantities for calibration (e.g., resonant frequencies, damping).
• Compare proposed methods against state-of-the-art approaches.
• Implement, test, and validate surrogate-based strategies and code.

Skills

Scientific computing

Uncertainty quantification

Structural dynamics

Education

PhD in mechanical engineering

Tools

Python

MATLAB

Job description

INRIA Saclay - Île-de-France invites applications for a postdoctoral position in Bayesian calibration of numerical models for structural dynamics. The project focuses on calibrating uncertain parameters to align FE/numerical responses with measured data, using Bayesian inference and model updating techniques.

The candidate will work within the Platon team at CMAP, collaborating with experts in uncertainty quantification and engineering applications.