Geophysics & Reservoir Modeling Intern

Halliburton; Houston (TX); On-site; USD 41,000 - 58,000; Full time

Benefits offered by this job

Relocation assistance

Corporate housing for summer

Job summary

Halliburton’s Houston internship program seeks a PhD candidate to conduct research in geophysics and reservoir engineering. You will explore inverse problems, geomodeling, and uncertainty quantification, developing reproducible code and leveraging HPC resources. Strong programming and communication skills are essential.

The 10–14 week, full‑time, in‑person internship begins May 23, 2027. Relocation support and corporate housing may be available for eligible candidates.

Qualifications

• Currently pursuing a PhD in geophysics, petroleum engineering, reservoir engineering, applied mathematics, computer science, or a closely related field.
• Ability to independently formulate research questions, design experiments, and implement solutions.
• Strong analytical skills and an ambition to develop innovative methods.
• Research or practical experience with inverse problems and numerical optimization.
• Experience applying deep learning and/or large language models to scientific or engineering problem solving.
• Experience with high-performance computing, parallel computing, or computationally intensive scientific workflows.
• Strong programming and numerical problem-solving skills.
• Clear verbal communication and technical writing skills.

Responsibilities

• Conduct research in geophysical inverse problems, geomodeling, reservoir history matching, reservoir simulation and modeling, rock physics, and uncertainty quantification.
• Establish baseline methods, performance metrics, and validation criteria.
• Identify key scientific and computational challenges and scalability concerns.
• Propose, implement, and test novel solutions using optimization, ML/DL, LLMs, or other advanced computational techniques.
• Develop prototypes and research-quality code for the Landmark R&D team.
• Apply HPC resources to simulations, optimization workflows, or ensemble studies.
• Analyze results and clearly communicate strengths, limitations, and implications.
• Maintain detailed methodology, workflow, experiments, results, and source code.
• Prepare and present a final technical report with objectives, approach, findings, and recommendations.

Skills

Programming

Deep learning

HPC

Numerical optimization

Research experience

Communication skills

Technical writing

Python

Education

PhD in geophysics/related field

Tools

Python

C++

MATLAB

Job description

Halliburton’s Houston internship program seeks a PhD candidate to conduct research in geophysics and reservoir engineering. You will explore inverse problems, geomodeling, and uncertainty quantification, developing reproducible code and leveraging HPC resources. Strong programming and communication skills are essential.

The 10–14 week, full‑time, in‑person internship begins May 23, 2027. Relocation support and corporate housing may be available for eligible candidates.