We are recruiting a numerical research engineer to work with the ERC RhEoVOLUTION project team https://erc-rheovolution.gm.univ-montp2.fr/) on developing new numerical modeling tools and/or perfecting existing FEM codes to simulate self-consistently ductile strain localization at different scales in the deformation of the solid Earth. It is a one-year position, but which may be renewed.
The research engineer will:
- define and develop the most suitable numerical approaches to fulfil the research needs of the ERC RhEoVOLUTION project (work in collaboration with the whole team)
- implement these approaches in existing codes or creating new ones
- install and optimize these codes on HPC centers
- develop tools to exploit the data produced by numerical simulations
- ensure the documentation, maintenance and publication of the methods and tools developed
- assist the ERC RhEoVOLUTION team in managing the life cycle of the data produced by the project.
We are looking for highly motivated candidates with strong numerical and methodological skills. Candidates must have a PhD or engineer degree in Geophysics, Physics, Applied Mathematics, or Scientific Computing leading to numerical simulation, in particular using the finite element method and the finite difference method. The ability to work in a team and good knowledge of English are essential. Prior experience in numerical modeling in (solid or fluid) mechanics or geodynamics and in large-scale computing will be strongly appreciated. In addition, technical skills in one or several of the following areas would be very welcomed : progamming languages for scientific computing (Fortran2008, C++, Python, Julia), libraries for scientific computing (LAPACK, MUMPS, PETSC, METIS…) version-control tools (git), and eventually, parallel computing.
This position is part of the ERC RhEoVOLUTION project, which aims to understand how the evolution of rock rheology controls strain localization at different scales in the Earth. To do so, we develop a framework for modeling self-consistently strain localization in rocks deforming by ductile processes, which includes: (1) stochastic descriptions of the evolution of the rheology in time and space and (2) fast (supervised machine-learning) methods to calculate the evolution of its anisotropy, which we aim to incorporate in large-scale geodynamical and ice-flow models. The ERC RhEoVOLUTION project team is composed of researchers in Earth Sciences, Glaciology, Materials Sciences and Applied Mathematics working in Montpellier, Grenoble, Nice and Argentina. The engineer will be based at Géosciences Montpellier, a joint CNRS & University of Montpellier research unit, in a lovely city in the south of France.