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.
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.
Title: Modeling and Simulation Engineer
Category: Full-time position in industry
Employer: Schlumberger Technology Corporation
Location: United States, Texas, Sugar Land
Opening Date: 8/1/2018
Job Description
Responsibilities: You 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.
Requirements
Solid knowledge of data science, including data storage, processing, access, visualization, governance, security, and operations, as well as experience in data lakes based on Google Cloud Platform or Microsoft Azure services are required.
In-depth understanding of statistical analysis and machine learning is essential.
Extensive experience in reduced-order model generation, scientific coding (C/C++, Python or R), and cloud computing is desired.
Knowledge of system engineering and engineering analysis software packages, such as Ansys, ABAQUS, and MatLab, is a bonus.
Excellent oral and written communication skills in English
Autonomous and creative approach towards challenging problems
To apply, please submit your resume and a list of 3 references to HZhang25@slb.com.
Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, 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.
Title: Modeling and Simulation Engineer
Category: Full-time position in industry
Employer: Schlumberger Technology Corporation
Location: United States, Texas, Sugar Land
Opening Date: 12/01/2017
Job Description
Responsibilities: You 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.
Requirements
Solid knowledge of data science, including data storage, processing, access, visualization, governance, security, and operations, as well as experience in data lakes based on Google Cloud Platform or Microsoft Azure services are required.
In-depth understanding of statistical analysis and machine learning is essential.
Extensive experience in reduced-order model generation, scientific coding (C/C++, Python or R), and cloud computing is desired.
Knowledge of system engineering and engineering analysis software packages, such as Ansys, ABAQUS, and MatLab, is a bonus.
Excellent oral and written communication skills in English
Autonomous and creative approach towards challenging problems
To apply, please submit your resume and a list of 3 references to HZhang25@slb.com.
Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, 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.
Development of Advanced Numerical Methods for the Virtual Testing of Composite Structures
Project description: Non-destructive testing of thin structures made of composite materials through acoustic emission is a promising technique which may, for example, be used to facilitate the maintenance of aircrafts and lead to a decrease in weight and carbon footprint. The idea is to send acoustic waves into the composite and to observe the response. Changes in this response indicate a change of stiffness related to internal damage. However, identifying the precise nature of this damage, and whether this aircraft needs to be repaired or can continue flying, is much more challenging. We propose a radically new method to address this challenge, by making use of high-performance computing and advanced simulation tools. The idea is to provide information about potential damage patterns, by simulating its propagation during the life of the engineering product. The precise damage pattern will then be identified by matching the acoustic response of virtually damaged materials to the response of the real-life composite panel.
The successful candidate will work on this project within the Cardiff Engineering Computational Mechanics Group. We are looking for a talented candidate with the following skills:
- A first or upper second class MSc (or equivalent) degree in Engineering, Applied Mathematics or Computational Sciences, with a specialisation in mechanics.
- A strong background in numerical methods (e.g. finite elements, high-performance computing)
- Proven programming skills (e.g. Matlab, C++, Python)
- A driven, professional and self-dependent work attitude
- Ability to produce high-quality scientific reports
This is an excellent opportunity to work in an internationally recognized research team and to develop cutting-edge methodologies to address an important engineering challenge. The project will be led in close collaboration with the experimental composite testing group in Cardiff University, with the composite modelling group from Swansea University, and with prominent figures of the FEniCS computing project (http://fenicsproject.org/).
The scholarship comprises a payment of fees, a tax-free stipend, training in advanced numerical methods and a study package (e.g. support for computing hardware and travel expenses).
Amount of Funding: The studentship will be for three years and cover fees at the Home/EU rate and a stipend equivalent to the RCUK rate of £13,863 (2014/15 rate)
Eligibility: The award is open to UK and EU students. International Students are permitted to apply for studentships provided that they have funds to cover any shortfall in international fees.
Expected start date: 01/01/2015
Contact for further information: Dr Pierre Kerfriden (Pierre.Kerfriden at gmail.com)
We are seeking to recruit an early career academic in Engineering at Lecturer level who will join the computational mechanics research group. You should have a proven research expertise in advanced numerical methods for computational mechanics. You will be expected to work effectively within the computational research group in Cardiff, strengthen its core research activities and develop complementary expertise.
You should also have the ability to contribute to undergraduate and post graduate teaching programmes in engineering.
You will
contribute to the research record of the School by carrying out research of international standing; submit your work for publication to high-quality international journals; contribute to research funding bids; achieve recognisable outputs in the areas of teaching, research, and industrial collaboration, commensurate with School norms; deliver high-quality and research-led teaching at both undergraduate and postgraduate levels; contribute to the national and international profile of the School and achieve recognisable impact upon the academic, commercial, and professional communities.
This position is full time and open-ended.
Salary: £31,342 - £37,394 per annum (Grade 6)
We particularly welcome applications from women who are under-represented within Cardiff University in this field.
Date Posted: Tuesday 4 November 2014
Closing date: Wednesday 3 December 2014
The application procedure is done through http://www.cf.ac.uk/jobs/ . Look for job 2778BR
I have quite a few ideas for MTech/ME/BTech/BE degree projects. The projects may be suitable in many different branches, including Mechanical, Computer Science, Metallurgical, Aerospace, Civil, etc. (In a few cases, MSc/M Phil students of departments like Physics or Computer Modeling and Simulation would be suitable too.)
All these projects are available for the new academic year (2008-09), at Pune, India.
Students from COEP and IIT Bombay are encouraged to apply. Others, please go through the document available here before getting in touch with me. In any case, there are no stipends/assistantships to go with these.
I do have an interest in each one of these projects. Yet, I feel no compulsive or pressing need that they must be picked up by students. Thus, I may choose not to offer any of these if the right kind of students do not apply.
Anyway, go through the document and bring this post to the notice of the relevant students... Thanks in advance.