Scientific Software Engineer Intern (3 months)

SLB; Abingdon; On-site; GBP 13,000 - 20,000; Part time

Job summary

SLB in the United Kingdom invites applications for a Scientific Software Engineer Intern (3 months) starting Summer 2027 in Abingdon. The project focuses on developing a 2D boundary element method solver for porous media flow, with embedded wells and fractures.

You will extend the solver, implement embedded features, test on simple cases, and prepare a technical report, gaining hands-on experience in numerical methods and reservoir modelling.

Qualifications

• Pursuing a Bachelor's or Master's in Applied Mathematics, Numerical Analysis, Software Engineering or related discipline.
• Study of Partial Differential Equations.
• Fundamentals of Numerical Analysis.
• Software engineering basics.

Responsibilities

• Contribute to the extension of a 2D boundary element solver for porous media.
• The main task will be to add support for embedded wells and fractures in the solver.
• Implementing the new functionality, testing it on simple cases, and documenting the results.
• Create a technical report.

Skills

Numerical Analysis

Applied Mathematics

Software Engineering

PDEs

Education

Bachelor's/Master's in Applied Mathematics or related

Job description

Scientific Software Engineer Intern (3 months) - Starting Summer 2027

Project Title: Development of a Boundary Element Method Solver for Porous Media Flow

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, Oxofrdshire

Description & Scope

The internship project focuses on developing a 2D solver for fluid flow in porous media as a simplified reservoir model. The solver will be based on the boundary element method (BEM), offering an efficient approach for simulating flow without the need for full volumetric discretization.

An important aspect of the project is enabling the solver to handle embedded elements, such as wells and fractures, which play a critical role in controlling flow behavior. The scope includes implementing the core solver, extending it to represent these embedded features, and validating the results on simplified test cases. This work will provide the intern with hands-on experience in scientific computing, numerical methods, and reservoir modeling, while contributing a practical tool for exploring innovative simulation techniques.

Through this project, the student will gain valuable experience in numerical modeling, scientific programming, and applied mathematics. They will also learn how to incorporate physical features like wells and fractures into simulation tools, and how simplified reservoir models can be used to study complex subsurface behavior. By the end of the internship, the student will have hands-on experience enhancing a solver that connects theory, coding, and reservoir applications.

Responsibilities

• Contribute to the extension of an existing 2D boundary element solver for fluid flow in porous media.
• The main task will be to add support for embedded elements such as wells and fractures, ensuring that these features are correctly represented in the simulation.
• Implementing the new functionality, testing it on simple cases, and documenting the results.
• Deliverables will be an extended solver prototype, validation of results,
• Create a technical report.

Qualifications

• Studying a Bachelors or Masters in Applied Mathematics, Numerical Analysis, Software Engineering or a related discipline
• Partial Differental Equations
• Numerical Analysis
• Software Engineering

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.