Researcher: Numerical Methods and Algorithms for Modelling and Simulations
Core
Implementing numerical methods for multi-phase and multiscale simulations in fluid or solid dynamics to solve 2D/3D multiphysics models.
Role type
Researcher, numerical methods and algorithms for multiphysics modeling
Builds
Numerical solvers and simulation models for multiphysics problems
Domain
Engineering, computational physics, multiphysics simulations
Deliverable
production ML models
Required skills
Python, C++, Finite element methods, Finite volume methods, Finite difference methods, Discontinuous Galerkin methods, Meshless methods, Arbitrary Lagrangian Eulerian methods, Partial differential equations, Linear algebra, Optimization methods, Object-oriented programming, Git, Software testing
Preferred skills
CI/CD pipelines, Software development basics
Technologies
Python, C++, Git
Responsibilities
Implement numerical methods for multi-phase and multiscale simulations; Solve 2D/3D multiphysics models using numerical techniques; Parameterize and validate models with data using optimization methods; Work in international teams to accomplish research goals.
Seniority
Mid-Senior, hands-on IC
