Post-Doctoral Research Visit F/M Bayesian calibration with model error in structural dynamics
Inria · Palaiseau
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Develop Bayesian calibration framework for model error in structural dynamics.
- Predict vibration, fatigue and durability of mechanical and civil structures.
- Validate methods on mechanical models and publish journal articles.
Ideal candidate
PhD in mechanical engineering or applied mathematics passionate about structural dynamics and uncertainty quantification, eager to develop rigorous calibration methods and share results through publications.
Requirements
- PhD in mechanical engineering, applied mathematics or related discipline
- Background in structural dynamics, model calibration or uncertainty quantification
- Proficient in scientific computing
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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