Postdoc: Bayesian Calibration for Structural Dynamics

1000scholars; Palaiseau; On-site; EUR 27,000 - 33,000; Full time

Job summary

Inria Saclay, in collaboration with the PLATON Inria project-team, seeks a postdoctoral researcher to develop Bayesian calibration frameworks for structural dynamics. The role focuses on calibrating FE models using observed data, accounting for model error, and comparing to state-of-the-art methods.

The candidate will implement surrogate-based strategies and contribute to publications. The position is based at Inria Saclay, with a gross monthly salary of about 2700€ for 12 months, starting by

Qualifications

• PhD in mechanical engineering or applied mathematics is required.
• Experience with Bayesian calibration and uncertainty quantification is essential.
• Strong scientific computing and programming skills are expected.

Responsibilities

• Develop a Bayesian calibration framework for structural dynamics.
• Identify relevant calibration quantities (e.g., resonant frequencies, damping).
• Implement and test calibration algorithms on mechanical models.
• Validate algorithms on different test cases and document results.
• Prepare journal articles and reports.

Skills

Bayesian methods

Uncertainty quantification

Scientific computing

Model calibration

Education

PhD in mechanical engineering or applied mathematics

Job description

Inria Saclay, in collaboration with the PLATON Inria project-team, seeks a postdoctoral researcher to develop Bayesian calibration frameworks for structural dynamics. The role focuses on calibrating FE models using observed data, accounting for model error, and comparing to state-of-the-art methods.

The candidate will implement surrogate-based strategies and contribute to publications. The position is based at Inria Saclay, with a gross monthly salary of about 2700€ for 12 months, starting by