Scientific Computing Specialist for Nanoscale Light-Matter Interactions
il y a 4 semaines
About the Position
As a scientific computing specialist, you will play a key role in enhancing the high performance computing capabilities of the DIOGENeS software suite. This involves developing GPU and multi-GPU-enabled versions of the compute-intensive numerical kernels of the solvers for solving the differential models of nanophotonics.
About the Team
The Atlantis 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) modeling nanoscale light-matter interaction problems.
Main Objectives
Your main objective in this assignment is to further enhance the high performance computing capabilities of the numerical tools developed in the DIOGENeS software suite. You 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.
Key Responsibilities
Concretely, this will concern two components of DIOGENeS:
- Developing GPU and multi-GPU-enabled versions of the compute-intensive numerical kernels of the solvers for solving the differential models of nanophotonics;
- Developing and implementing parallelization strategies for a statistical learning-based global optimization method, which is coupled to the above-mentioned DG-type high order finite element solvers.
Requirements
Candidates will hold a Master degree or a PhD degree in applied mathematics/scientific computing or computational wave physics or computational photonics. Required skills include sound knowledge of numerical analysis and development of finite element type methods for computational physics, a concrete experience in numerical modeling for computational electromagnetics, 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, and fluent spoken and written English.
Benefits
The recruited engineer will enjoy a range of benefits, including subsidised catering service, partially-reimbursed public transport, social security, paid leave, flexible working hours, and sports facilities.
Remuneration
The salary will be from 2652 euros gross monthly according to degree and experience.
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