Title: Modeling and Simulation Engineer
Category: Full-time position in industry
Employer: Schlumberger Technology Corporation
Location: United States, Texas, Sugar Land
Opening Date: 08/01/2019

To apply, please submit your resume and a list of 3 references to JShi2@slb.com.

Introduction

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; a minor degree or substantial training through MOOC in data science and machine learning is preferred.
• Fresh-out graduates or experienced professionals are welcome to apply. Experience in the Oil & Gas industry is a plus.
• Extensive experience in system modeling (reduced-order modeling, model integration, and co-simulation), scientific programming (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.
• Candidates must be able to legally work and reside in the US.

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.

We are currently looking for a top candidate to join the System Level Design group at CMU (www.ece.cmu.edu/~sld/), as a Postdoctoral Associate, starting Spring 2013. Main responsibilities involve work on modeling and control of stochastic micro-robotic swarms targeting biological applications.

The on-going research behind this position aims at developing a new computational framework for characterizing dense networks of bacteria propelled microrobotic swarms targeting diagnostic and drug delivery, as well as computational approaches for cellular communication. Developing this framework involves inter-disciplinary work towards understanding this class of cyber-physical systems which operate under uncertainity conditions, yet are able to perform specified tasks through self-organization and collective behavior.

Candidates should have a Ph.D. in a relevant area (e.g., robotics, control, computer science/engineering, statistical mechanics, applied math/physics, etc.), excellent analytical and communication skills, ability to work in an interdisciplinary team. Prior experience with C++/Matlab, complex and network modeling are very important too.

Interested candidates should send their CV, research statement, and questions to Prof. Radu Marculescu (radum@cmu.edu)