Senior Research Engineer - Borehole EM Modeling & Inversion

The University of Texas at Austin

Austin (TX)

On-site

USD 72,000 - 88,000

Full time

3 days ago
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Job summary

The University of Texas at Austin's Cockrell School of Engineering invites applications for a Research Engineering/Scientist Associate V in the Hildebrand Department of Petroleum and Geosystems Engineering on UT's main campus. The role advances computational methods for quantitative formation evaluation and subsurface interpretation.

Responsibilities include developing electromagnetic forward models, improving solvers, integrating tools into consortium software, and collaborating with sponsors.

Qualifications

  • Bachelor's degree plus eight years of related experience.
  • Experience in borehole electromagnetic modeling and inversion.
  • Proficiency in MATLAB and Python; experience with Fortran or a comparable compiled 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
Parallel computing
Numerical methods
Technical communication
Teamwork
Fortran

Education

Bachelor's degree
PhD preferred

Tools

Fortran

Job description

The University of Texas at Austin's Cockrell School of Engineering invites applications for a Research Engineering/Scientist Associate V in the Hildebrand Department of Petroleum and Geosystems Engineering on UT's main campus. The role advances computational methods for quantitative formation evaluation and subsurface interpretation.

Responsibilities include developing electromagnetic forward models, improving solvers, integrating tools into consortium software, and collaborating with sponsors.

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