Senior Borehole Electromagnetic Modeling Scientist

The University of Texas at Austin; Utah; On-site; USD 80,000 - 120,000; Full time

Job summary

The University of Texas at Austin is seeking a Research Engineering/ Scientist Associate V in the Hildebrand Department to advance computational methods and research software for quantitative formation evaluation. You will develop tools translating research into subsurface interpretation workflows and support consortium research and technology transfer.

Key work includes building electromagnetic forward models and inversion methods, improving solvers for HPC, and integrating visualization into

Qualifications

• Bachelor's degree plus eight years of related experience.
• Proficiency in MATLAB and Python; experience with Fortran or a comparable language.
• Experience in numerical methods, scientific data analysis, parallel computing, and collaborative software development.
• Strong technical communication and teamwork skills.

Responsibilities

• Develop and validate electromagnetic forward models and inversion methods for formation evaluation.
• Improve numerical solvers and performance through parallel and high-performance computing.
• Integrate modeling, inversion, and visualization capabilities into consortium software, including 3D UTAPWeLS.
• Analyze subsurface data and assess model sensitivity and uncertainty.
• Collaborate with researchers and sponsors; prepare documentation, publications, presentations, and user support.

Skills

MATLAB

Python

Fortran

Numerical methods

Scientific data analysis

Parallel computing

Collaborative software development

Technical communication

Teamwork

Education

Bachelor's degree

Ph.D. (preferred)

Tools

UTAPWeLS

Reservoir simulation

Production forecasting

OpenMP

MPI

GPU computing

Job description

The University of Texas at Austin is seeking a Research Engineering/ Scientist Associate V in the Hildebrand Department to advance computational methods and research software for quantitative formation evaluation. You will develop tools translating research into subsurface interpretation workflows and support consortium research and technology transfer.

Key work includes building electromagnetic forward models and inversion methods, improving solvers for HPC, and integrating visualization into