High performance computing for the study of nanoscale light-matter interactions
Il y a 6 mois
Contexte et atouts du poste
Atlantis is a joint project-team between Inria and the Jean-Alexandre Dieudonné Mathematics Laboratory at Université Côte d'Azur. The team gathers applied mathematicians and computational scientists who are collaboratively undertaking research activities aiming at the design, analysis, development and application of innovative numerical methods for systems of partial differential equations (PDEs) modelling nanoscale light-matter interaction problems. In this context, the team is developing the DIOGENeS [ software suite, which implements several Discontinuous Galerkin (DG) type methods tailored to the systems of time- and frequency-domain Maxwell equations possibly coupled to differential equations modeling the behaviour of propagation media at optical frequencies. DIOGENeS is a unique numerical framework leveraging the capabilities of DG techniques for the simulation of multiscale problems relevant tonanophotonics and nanoplasmonics.
Mission confiée
The main objective in this assignment is to further enhance the high performance computing capabilities of the numerical tools developed in the DIOGENeS software suite.
The recruited engineer will also actively participate in the studies conducted by the Atlantis team members for demonstrating the benefits of these numerical tools through the simulation of realistic and challenging use cases pertaining to various applications of nanoscale light-matter interactions. In particular, the team is now actively collaborating with potential end-users of the DIOGENeS software suite who are raising various modeling issues that need to be addressed prior to simulating such realistic uses cases.
Principales activités
Concretely, this will concern two components of DIOGENeS:
On one hand, the DG-type high order finite element solvers for solving the differential models of nanophotonics. Here, the goal will be to develop GPU and multi-GPU-enabled versions of the compute intensive numerical kernels of these solvers; On the other hand, the inverse design workflows for mastering and enhancing the properties of nanophotonic structures and devices. Here, the goal will be to develop and implement parallelization strategies for a statistical learning-based global optimization method, which is coupled to the above-mentioned DG-type high order finite element solvers.
Compétences
Candidates will hold a Master degree or a PhD degree in applied mathematics/scientific computing or computational wave physics or computational photonics.
Required skills:
- Sound knowledge of numerical analysis and development of finite element type methods for computational physics;
- A concrete experience in numerical modeling for computational electromagnetics will be an asset;
- Strong programming skills and exposure to high performance computing models (MPI, OpenMP/OpenACC, CUDA);
- Knowledge and experience of Fortran 95/2000x and Python programming languages;
- Fluent spoken and written English.
Avantages
Subsidised catering service Partially-reimbursed public transport Social security Paid leave Flexible working hours Sports facilities
Rémunération
From 2652 euros gross monthly (according to degree and experience)
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