High Performance Computing Engineer for Nanoscale Light-Matter Interactions
il y a 2 semaines
Context and Key Responsibilities
Atlantis is a joint research project between INRIA and the Jean-Alexandre Dieudonné Mathematics Laboratory at Université Côte d'Azur. The team consists of applied mathematicians and computational scientists working together to develop innovative numerical methods for systems of partial differential equations (PDEs) modeling nanoscale light-matter interaction problems.
The team is developing the DIOGENeS software suite, which implements Discontinuous Galerkin (DG) type methods tailored to the systems of time- and frequency-domain Maxwell equations possibly coupled to differential equations modeling the behavior of propagation media at optical frequencies.
Main Objectives
The main objective of this assignment is to enhance the high-performance computing capabilities of the numerical tools developed in the DIOGENeS software suite.
The recruited engineer will actively participate in studies conducted by the Atlantis team members to demonstrate the benefits of these numerical tools through the simulation of realistic and challenging use cases pertaining to various applications of nanoscale light-matter interactions.
Key Activities
- Develop GPU and multi-GPU-enabled versions of the compute-intensive numerical kernels of the DG-type high-order finite element solvers for solving the differential models of nanophotonics.
- 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, for mastering and enhancing the properties of nanophotonic structures and devices.
Requirements
Candidates will hold a Master's 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.
- 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.
Benefits
- Subsidized catering service.
- Partially-reimbursed public transport.
- Social security.
- Paid leave.
- Flexible working hours.
- Sports facilities.
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