Key skills
C++C
About this role
Role Overview
- develop M-Star’s fluid dynamics solver including maintenance, feature addition, algorithm implementation, and validation
- translate academic research in numerical methods into a high-performance, easy-to-use software product
- model a wide-range of physics including fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfer
- implement meshing algorithms and data structures for GPU architectures in a distributed memory environment
- work with support engineers and users to tailor software to current needs
- perform validation studies and present results at conferences
Requirements
- background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer) ideally with a PhD in chemical engineering, mechanical engineering, or physics
- expert experience in writing high performance physics codes using parallel computing in shared and distributed memory systems
- C++ programming skills
- working with lattice Boltzmann methods (LBM) for fluid simulation
- knowledge of the discrete element method (DEM) for particle mechanics
- specialization in numerical methods for multiphase modelling of liquid-liquid and gas-liquid systems
- algorithms for computational geometry including structured/unstructured meshing, 3D search, and mesh refinement
- detailed understanding of GPU architectures and CUDA toolkit
- MPI programming for multi-GPU code development
- familiarity with debugging and profiling tools for CUDA/MPI applications
- working on a large Multiphysics solver