Job Duties and Qualifications

• Background in Physics, Applied Mathematics, Chemical Engineering, Mechanical Engineering, Nuclear Engineering, or similar with a strong component in Computational Science and Transport Phenomena.
• Expert knowledge of Applied Physics and Engineering: Thermodynamics, Fluid Flow (e.g., Navier-Stokes Equations), Statistical Physics and Transport Phenomena.
• Expert knowledge of the Lattice-Boltzmann Method for simulation of single- and multi-phase flows.
• Expert knowledge of computational modelling and simulation of heat transfer problems.
• Excellent ability to develop scientific code in one or more programming languages (e.g., C/C++, Python, Matlab).

• Knowledge of porous media flow. It is a big plus if you have already implemented Lattice-Boltzmann methods to simulate multi-phase fluid flow in porous media.
• Knowledge of heat transfer and fluid flow in reservoir formation and wellbores.
• Knowledge of scientific computing (e.g., linear and nonlinear solvers, numerical methods, etc.).
• Knowledge of parallel computing (e.g., CUDA, MPI).
• Familiarity with computational mathematics (e.g., linear algebra, calculus, matrix decompositions, etc.).
• Knowledge of other PDE discretization methods, such as Finite Element, or Finite Volume Methods.
• Familiarity with open-source scientific computing libraries (e.g., HYPRE, BOOST++, PETSC, DUNE, LAPACK, etc.).
• Familiarity with CMake, Makefiles, and other tools for multi-platform code compilation.