Landmark Software Services Computational Science and Engineering for Energy CSEE 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

We are looking for the right people — people who want to Innovate. Achieve. Grow. Lead. We attract and retain the best talent by investing in our employees and empowering them to achieve their career potential. Explore the possibilities in a career that helps bring energy to the world. At Halliburton, we want people who want to make a difference. Take risks. Inspire. Be inspired. Learn. Collaborate to create a better future in a safe, ethical, and dynamic workplace with limitless opportunity.

What You’ll Do…

This position is located in Houston, TX. Our intern program philosophy is to “recruit once, hire twice” with the hope to hire interns back into full-time or return internship roles.

The internship program assignments are 10-14 weeks in duration and are full-time in-person internships. The summer 2027 internship is expected to begin on May 23, 2027.

Your Key Responsibilities:

• Conduct research in one or more of the following areas:
  • Geophysical inverse problems
  • Geomodeling
  • Reservoir history matching
  • Reservoir simulation and modeling
  • Rock Physics
  • Uncertainty quantification
  • Design and execute synthetic case studies to evaluate proposed methods under controlled conditions.
• Establish appropriate baseline methods, performance metrics, and validation criteria.
• Identify key scientific and computational challenges, including non-uniqueness, scalability, computational cost, and uncertainty.
• Propose, implement, and test novel solutions using optimization, machine learning, deep learning, large language models, or other advanced computational techniques.
• Develop prototypes and research-quality code that can be reproduced, evaluated, and extended by the Landmark R&D team.
• Apply high-performance computing resources to computationally intensive simulations, optimization workflows, or ensemble studies.
• Analyze experimental results and clearly communicate the strengths, limitations, and practical implications of the proposed methods.
• Maintain detailed documentation of the methodology, workflow, experiments, results, and source code.
• Prepare and present a final technical report summarizing the research objectives, approach, findings, and recommendations.

What You’ll Bring to Our Team

Required 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.

Preferred qualifications:

• Knowledge of reservoir simulation, history matching, geophysical inversion, rock physics, pore-pressure prediction, geomodeling, or subsurface modeling.
• Experience with quantum computing or quantum optimization is a plus but is not required

What We Offer…

Relocation

This position offers relocation based on candidate eligibility. To qualify, your university and/or permanent address must be more than 50 miles from your work location.

• Corporate housing provided for the summer to those candidates who qualify.
• Relocation assistance.

Salary Range:

$36/hour for students pursuing a PhD

What’s In It for you:

• An internship with Halliburton will provide great insight to see if this is the right career for you.
• You’ll receive hands‑on, real‑world work experience that will help you prepare for the next step in your career.
• You’ll become an integral part of our team and be expected to deliver results that will make an impact.
• Develop meaningful connections with industry leaders, learn a lot about the industry and develop the cutting‑edge skills you need to become a leader for tomorrow.
• Collaborate with teams across the globe and with diverse backgrounds – both professionally and culturally.

Halliburton’s Commitment

Enhance the economic and social well‑being of our employees and the communities in which we operate – Our intent is to be a preferred employer and make a positive impact in the communities where we live and work.

Employee Investment

Halliburton is able to innovate, achieve, grow and lead for one reason: our people. We invest in our employees through competitive compensation plans, health benefits, work‑life programs, and rewards and incentive plans.

Diversity, Equity, and Inclusion

At Halliburton, no matter who you are, or where you come from, you will be given the opportunity to have your voice heard – and the opportunity to succeed. We understand that diversity matters, because great minds don’t always think alike.

Sustainability

At Halliburton, sustainability is serving our customers, employees, stakeholders, and communities in an environmentally, socially, and ethically responsible way.