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Full-Time Position in Schlumberger – Modeling and Simulation Engineer

Haitao Zhang's picture

Intro

Schlumberger has an opening in Sugar Land, Texas for a Modeling and Simulation Engineer. The Modeling and Simulation Engineer will be responsible for developing digital representations (or twins) of physical assets or processes to produce business outcomes. You will need to work seamlessly with a multidisciplinary team and present project progress to various internal and external clients.

 

Responsibilities

The candidate may work on any of the following:

  • Understand the design, manufacturing, and operation of the products you perform Modeling and Simulation on

  • Gather project-related information through internal and external sources

  • Develop high-fidelity physics-based models and their reduced-order versions

  • Integrate various models developed in different software environments into a system model to enable co-simulation and accurately predict the performance and health condition of a physical asset

  • Process, analyze, and infuse sensor data into models for off-line or real-time calibrations

  • Develop data-driven models with machine learning techniques

  • Develop scripts to link different pieces of information and automate repetitive tasks

  • Deliver results per defined key project milestones along with team members and collaborators

  • Present project progress updates to stakeholders and management

  • Develop domain expertise and share knowledge with peers and the engineering community

 

Qualifications & Experience

  • Ph.D. degree in Mechanical Engineering, Aerospace Engineering, Civil Engineering, or Engineering Mechanics, with a specialty in Applied Mechanics; B.S. degree in Mechanical Engineering

  • Minimum 3 years of professional experience in system modeling, including reduced-order modeling, model integration, and co-simulation, are required.

  • Extensive experience in scientific coding (C/C++, Python, Modelica) and functional mockup unit generation is essential.

  • Solid knowledge of Ansys or ABAQUS is a must. Experience in other commercial codes for Computational Mechanics is a plus.

  • Knowledge of data science, statistical analysis, machine learning, and cloud computing is highly desirable.

  • Excellent oral and written communication skills in English

  • Autonomous and creative approach towards challenging problems

  • Knowledge of Oilfield terminology and business practices. Oil & Gas Industry exposure

  • Candidates must be able to legally work and reside in the US, without sponsorship

 

Schlumberger 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, status as a protected veteran or other characteristics protected by law.

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

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