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Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 5, 2026.

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SLB

Headquartered in Houston, Texas, SLB (formerly known as Schlumberger) is a global energy technology company specializing in innovative solutions for the oil and gas industry. The enterprise provides a comprehensive range of services and digital technologies, spanning well construction, reservoir performance, and production optimization. Operating in over 120 countries, SLB also drives clean energy initiatives, supporting decarbonization, carbon capture, and new energy systems worldwide.
Backed by Aramco Ventures

Job Title:

AI Engineer Intern (3 months) - Starting Summer 2027

Project Title: Development of physics-informed neural operators for coupled thermal, hydraulic and mechanical processes in subsurface energy systems.

About SLB:

We are a global technology company, driving energy innovation for a balanced planet.

At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.

Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.

Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are

Location:

Abingdon, Oxfordshire

Description & Scope:

Develop a next-generation surrogate modelling framework capable of rapidly predicting:

  • Pressure evolution Temperature evolution

  • Stress and deformation Mineral dissolution and precipitation

  • Porosity and permeability changes

  • Injectivity and productivity impacts for CCS and geothermal reservoirs without requiring repeated full THMC simulations.

Responsibilities & Deliverables:

  • Understand the Existing Workflow and improve when needed (include geochemistry, improve speed of training, etc.)

  • Build initial ML models (CNN, FNO, GNN, etc.)

  • Evaluate accuracy and inference speed

  • Connect with other software platforms

  • Benchmark report

  • App for building surrogate models

Qualifications :

  • Studying or completed Bachelors in Data Science, Computer science or a related discipline

  • Familiarity with deep learning methods and coding (not necessarily the ones mentioned above)

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.

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