Research engineer in applied mathematics, methods and tools for materials and structures M/F

L’Institut de Recherche Technologique (IRT) Saint Exupéry est un accélérateur de science, de recherche technologique et de transfert vers les industries de l’aéronautique et du spatial pour le développement de solutions innovantes sûres, robustes, certifiables et durables.

Nous proposons sur nos sites de Toulouse, Bordeaux, Montpellier, Sophia Antipolis et Montréal un environnement collaboratif intégré composé d’ingénieurs, chercheurs, experts et doctorants issus des milieux industriels et académiques pour des projets de recherche et des prestations de R&T adossés à des plateformes technologiques autour de 4 axes : les technologies de fabrication avancées, les technologies plus vertes, les méthodes & outils pour le développement des systèmes complexes et les technologies intelligentes.

Nos technologies développées répondent aux besoins de l'industrie, en intégrant les résultats de la recherche académique.

In the framework of research projects related to prediction, mastering and optimisation of high performance materials (composite or metallic) for aerospace applications, IRT is looking for a research engineer with strong background in mathematics and numerical methods applied to materials and structures. He/She will be involved in the work on the following topics:

• Quantification and propagation of uncertainties affecting material model parameters (boundary or initial conditions, constitutive parameters). The main objective is to implement and use state-of-the-art algorithms to infer statistical distributions of variables and efficiently propagate them through the model to determine impacts on quantities of interests. The choice of algorithms and parameterisation of the problems would depend on the targeted application (e.g. composite damage models, mechanical responses of lattice structures in additive manufacturing).
• Validation of models against reference data: Objective is to define and implement validation strategies, accounting for uncertainties throughout relevant metrics.
• Smarter testing consisting in optimisation of the shape, loading and/or layup of (a set of) specimens, in conjunction with advanced measurement methods (e.g. Digital Image Correlation). In collaboration with academics partners, the objective is to develop related methods and tools, and demonstrate gains in terms of physical test reduction and improvement of calibration and validation processes.
• Development of a python library dedicated to model-based decision-making support. This library aims at integrating multiple models and seamlessly performing analyses: sensitivity, calibration, validation, optimisation and reliability. In collaboration with software development engineer and other contributors, the candidate will contribute to the development of the features related to abovementioned topics in a standardised software development process.

 
The candidate will be integrated in a multidisciplinary team. He/she will have strong interactions with industrial and academic partners (in France, Spain, Portugal, The Netherlands …). He/she will consolidate a scientific and industrial network and gain visibility on his/her topics of interest (conferences and papers). 

PhD in applied mathematics. Experience in the field of solid mechanics is a plus.

• Statistics, Reliability / Uncertainty management
• Sensitivity analyses, surrogate modelling
• Numerical methods, optimisation
• Finite element modelling
• Solid Mechanics
• Object oriented programming (python)

• Team spirit
• Rigorous, Ability to summarise
• Curiosity, Understanding of industrial needs