Computational Geoscience Research Associate

University of Texas at Austin; Austin (TX); Presencial; USD 72.000 - 88.000; Jornada completa

Descripción de la vacante

The University of Texas at Austin’s Hildebrand Department invites applications for a Research Associate to advance physics-based simulations of fluids in porous media. This role focuses on molecular-scale dynamics, numerical modeling, and high-performance computing to interpret subsurface measurements.

The successful candidate will design and validate simulations, integrate results with experimental data, and contribute to publications and reports under the guidance of the faculty.

Formación

• PhD degree in physics, chemistry, engineering, applied mathematics, or closely related field.
• Seven years of experience in physics, chemistry, engineering, or related discipline with substantial research.
• Experience with computational modeling or numerical simulation and scientific programming.

Responsabilidades

• Design, perform, and validate molecular-scale simulations of fluid behavior and interactions with pore surfaces.
• Develop computational models of nuclear and magnetic-resonance measurements for subsurface characterization.
• Use HPC resources to manage simulations, assess uncertainty, and improve reproducibility.
• Integrate computational predictions with experimental measurements and interpret results.
• Prepare technical reports, manuscripts, and updates; coordinate with collaborators and sponsors.

Conocimientos

Computational modeling

Scientific programming

Quantitative data analysis

Multidisciplinary collaboration

Educación

PhD degree

Herramientas

MCNP

GROMACS

LAMMPS

Python

MATLAB

Descripción del empleo

The University of Texas at Austin’s Hildebrand Department invites applications for a Research Associate to advance physics-based simulations of fluids in porous media. This role focuses on molecular-scale dynamics, numerical modeling, and high-performance computing to interpret subsurface measurements.

The successful candidate will design and validate simulations, integrate results with experimental data, and contribute to publications and reports under the guidance of the faculty.