Researcher: Localization of waves in strongly heterogeneous elastic media

Jan 05, 2021
Feb 04, 2021
Organization Type
University and College
Full Time
.The researcher fellow will:
  • Implement the localization landscape method for large scalar/acoustic 3D heterogeneous problems and compare the results with direct computations of the eigenmodes of the medium to characterize the onset of Anderson localization.
  • Study (numerically and analytically) the influence of considering open boundary conditions through the complex scaling method (continuous relative of the PML)
  • Study proposals to extend the landscape localization method to elasticity problems

The researcher fellow will collaborate with several researchers in the laboratory.

A researcher fellowship is available for a one-year duration in the Waves and Imaging Team of Laboratoire de Mécanique et d'Acoustique in Marseille, France. The mission concerns the numerical and theoretical study of the localization of elastic waves in strongly heterogeneous media.

The Mechanics and Acoustics Laboratory (LMA) is a mixed research unit of the CNRS (UMR 7031) whose supervisory bodies are Aix-Marseille University (AMU), CNRS and Centrale Marseille (ECM).

The LMA has a staff of about 140 people, including 88 permanent staff (researchers, teacher-researchers, engineers, assistant engineers and technicians) and about 40 doctoral students.
The laboratory develops original research that ranges from the understanding of phenomena to the development of systems with high technological or societal implications, including their design or the development of basic concepts and technologies.

The LMA has nationally and internationally recognized expertise in the fields of Solid Mechanics and Acoustics. It is structured into three research teams: Materials and Structures, Waves and Imagery and Sounds.

The candidates will hold a Ph.D. (or equivalent) in numerical mechanics or in applied mathematics, preferably in the fields of wave propagation, dynamics, vibrations or acoustics. Knowledge in stochastic mechanics or wave propagation in random media will be appreciated, but not mandatory. In terms of computer implementation, the candidate will be expected to be proficient in at least one langage among Matlab, Python, or similar.

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