We are always looking for curious minds, postdocs, grad students, and undergrads, excited to push the boundaries of novel numerical methods. If you're passionate about intelligent computation and multiscale science, there is a place for you at EILAB.
Lead breakthrough research, mentor future scientists, and shape the frontier of intelligent multiscale modeling.
Build deep expertise, explore cutting-edge methods, and drive innovation in multiscale computational science and engineering.
Discover research early, learn powerful tools, and contribute meaningfully to real-world scientific challenges.
To apply to EiLab, ensure you possess the following skills and interests, then send your resume and best (published) work to:salah.faroughi@utah.edu
Self Motivation
Driven by curiosity and initiative, you independently pursue challenging problems and deliver meaningful solutions.
Coding Skills
You write clean, efficient code and apply advanced methods like FVM, DEM, machine learning, and deep learning.
Team Collaboration
You collaborate across disciplines, communicate clearly, and contribute actively to a productive research environment.
It is a Plus
If you are proficient in computational physics and familiar with a variety of numerical methods such as the Finite Volume Method (FVM), Finite Element Method (FEM), Lattice Boltzmann Method (LBM), Smoothed Particle Hydrodynamics (SPH), and Discrete Element Method (DEM). Experience using open-source simulation packages like OpenFOAM, LIGGGHTS, and Palabos for modeling and analysis is highly valued.
It is a Big Plus
If you have a strong background in scientific machine learning. Experience with Physics-Informed Neural Networks (PINNs), Physics-Enhanced Neural Networks (PeNNs), or Implicit Neural Representations (INRs) is a big plus, especially when paired with proficiency in popular ML frameworks such as TensorFlow or PyTorch.