Modeling and Simulation Engineering Intern – CFD

Intro

SLB has an opening in Sugar Land, TX, USA, for a 3-month Summer 2025 Modeling and Simulation Engineering Intern, specializing in analytical and computational fluid dynamics (CFD). The Modeling and Simulation Intern will perform CFD modeling to support design, manufacturing, and operations and use Machine Learning (ML) applications. The intern must work with a multidisciplinary team to present project progress and develop automation tools.

Responsibilities:

The candidate may work on any of the following:

·        Gather project-related information through internal and external sources.

·        Understand the design, manufacturing, and operation of the products.

·        Develop computational fluid dynamics (CFD) models, including geometry cleanup, meshing, and problem setup for various energy industry problems.

·        Develop reduced order models using different software environments.

·        Perform formal design optimization studies.

·        Combine CFD results with machine Learning applications.

·        Develop scripts to incorporate advanced custom models and automate repetitive tasks.

·        Work in a team environment, deliver results per defined key project milestones.

·        Present project progress updates to stakeholders and management teams.

Qualifications & Experience

1.     Ph.D. degree candidates in Mechanical Engineering, Aerospace Engineering, or Chemical Engineering.

2.      Experience in the Oil & Gas or New Energy industry is a plus.

3.     A fundamental understanding of fluid dynamics, numerical methods, the theory of turbulence, and fluid rheology is essential. Understanding heat/mass transfer and turbomachinery fundamentals, chemical reactions, and Fluid-Structure Interaction (FSI) modeling is a plus.

4.     Experience in CFD modeling of multiphase, compressible, turbulent flows is essential. Practical knowledge of solid particle erosion modeling is a plus.

5.     Solid knowledge of ANSYS Fluent or CFX is essential. Experience in other CFD products is a plus.

6.     Experience with cloud computing is a plus.

7.     Experience in scientific programming with Python or other languages on a level sufficient to create User-Defined Functions (UDF) and practical knowledge of Linux and High-Performance Computing (HPC) is essential. Exposure to design optimization and Design of Experiments (DOE) is a plus.

8.     Understanding Machine Learning (ML) algorithms and/or creating Reduced-Order Models (ROM) is essential.

9.     Good oral and written communication skills in English.

10. Autonomous and creative approach toward solving challenging problems.

Candidates must be able to work and reside in the US legally.

SLB is an equal employment opportunity employer. Qualified applicants are considered regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.

SLB is a VEVRAA Federal Contractor – priority referral Protected Veterans requested.