Details
Posted: 22-Jul-22
Location: Sugar Land, Texas
Preferred Education: Doctorate
Categories:
Physics: Computational
Physics: Physics
Sector:
Private Sector
Work Function:
Research and Development
Preferred Education:
Doctorate
Global impact
Schlumberger is seeking innovators to shape the future of the global energy supply. If you share our passion for discovery, we will give you the platform to turn it into real impact. If you want to attain your maximum potential, then this is the place for you.
We are looking for candidates with strong technical and communication skills, as well as the ability to foster effective working relationships with peers. Prior experience in the energy industry or industrial research labs is a plus but not required.
We have multiple openings for R & D scientists with expertise in several different technologies:
- Computational and experimental approaches to Carbon Capture, Utilization, and Storage (CCUS)
- Experimental nuclear magnetic resonance (NMR)
- Computational and experimental electromagnetism (EM)
- Nuclear physics modeling
- Petrophysics for an Interpretation Development Engineer (IDE) position
- Geology for subsurface applications
Positions are available at two technology centers, the Houston Formation Evaluation center in Sugar Land, TX and the Schlumberger Doll Research center in Cambridge, MA. Candidates will be considered across all positions.
About Schlumberger
We are Schlumberger, the leading provider of technology and services to the energy industry, with offices and technology centers in over 120 countries. We design, develop, and deliver technology and services for all aspects of the oil and gas lifecycle, and we are an emerging leader in sustainability through the energy transition and renewables sectors.
We push the boundaries of our industry by unleashing our talented people’s energy. We are seeking innovators to join our worldwide, highly diverse community of colleagues to develop new solutions which will expand the limits of what is possible.
Schlumberger is an equal 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.
How to apply
Applicants are asked to create a free user profile under careers.slb.com and then to apply to the relevant position(s). As an example you may Click here. The process includes uploading your resume or CV.
Email
You may also submit a brief letter of intent with your resume or CV to the following portals:
nam-tech-recruiters@slb.com – Schlumberger North America Technology Recruiters
SDRJobs@slb.com – Please reference “M&I Full Time” in the email subject
General Roles and Responsibilities
- Provide research and development solutions based on principles of physics and mathematical models
- Build virtual and real prototypes, products, and systems suitable for testing
- Design testing procedures and coordinate tests, and document results
- Conduct technical reviews of project requirements, specifications and risk analysis
- Assist in commercialization tasks where applicable
- Contribute to design standards
- Create and maintain product documentation
- Make presentations to technical, management, and client audiences.as needed
- Author technical reports, papers, articles and patents
- Share expertise via internal knowledge sharing methods and special interest groups. Build informal networks throughout the organization and with customers
- Assign, direct and review the work of technicians and junior engineers. Mentor junior team members as required
- Provide training and support to customers and field representatives
- Maintain familiarity with company technology, organization and business
- Keep abreast of novel technical concepts and markets; Learn new skills and practices as required to develop products that maintain Schlumberger's technical leadership
- Participate in recruiting activities
R & D scientists for Carbon Capture, Utilization, and Storage (CCUS)
Computational R & D scientist for Carbon Capture, Utilization, and Storage (CCUS)
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
Schlumberger has openings for four computational R&D scientists in which the successful candidates will collaborate with fellow scientists to investigate topics surrounding the ever-expanding applications of carbon capture, utilization, and storage. Successful candidates should have a strong background in computational methods, with a particular focus in two areas:
- Earth formation evaluation methods for CCUS applications by integrated use of both subsurface (wellbore) and surface measurements; emphasis will be on expanding traditional formation evaluation to CCUS applications, including time lapse monitoring
- Reservoir modeling based on fundamental physics and chemistry of fluids flow of miscible and immiscible fluids in porous media, large-scale reservoir dynamics, and flood front monitoring methods
Detailed qualifications
- Ph.D. degree in electrical engineering, physics, applied math, earth sciences, or related fields preferably with thesis work related to CCUS methods
- Solid programming/software skills and practice of machine learning are preferred
- Excellent problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
Experimental R & D scientist for Carbon Capture, Utilization, and Storage (CCUS)
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
Schlumberger has openings for one experimental R&D scientist in which the successful candidates will collaborate with fellow scientists to investigate topics surrounding the ever-expanding applications of carbon capture, utilization, and storage. Scientists will develop experimental settings with emphasis on carbon geological storage, and work with other scientists in computational domain. Successful candidates should have a strong background in experimental methods, with a particular focus in two areas:
- Earth formation evaluation methods by integrated use of both subsurface (wellbore) and surface measurements, extending to time lapse monitoring, to serve the emerging energy transition sector of CCUS, with emphasis on carbon geological storage, and applications in renewables such as geothermal energy harvesting
- Experimental science related to the fundamental physics and chemistry of fluids flow of miscible and immiscible fluids in porous media, large-scale reservoir dynamics and geomechanics, and flood front monitoring methods in developing solutions
Detailed qualifications
- Ph.D. degree in chemical engineering, geo-mechanical engineering, applied math, physics, geophysics, earth/environmental sciences, or related fields with preferably thesis work related to CCUS methods.
- Solid lab experiment design and execution experience
- Demonstrated problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
R & D scientists with experimental nuclear magnetic resonance (NMR) experience
Schlumberger has two job openings for an experimental NMR physicist or candidate with equivalent experience. The successful candidate will work with engineers and scientists to design, develop, and sustain hardware and software relating to NMR for earth subsurface evaluation. Tasks will include implementation of new instrumentation to increase automation of both lab and shop tests. He or she should have a strong background in designing and verifying NMR sensors, including static and dynamic magnetic fields, transmit and receive characteristics of RF antennas, and the related acquisition software and electronics.
Formation Evaluation Wireline sustaining NMR physicist
Qualifications or Experience: PhD or equivalent preferred; Master’s will be considered
Date of Start: Immediate
Job Description
The Physicist is responsible for providing engineering solutions for the development or improvement of techniques, procedures and products using analysis and experiments based on principles of physics and mathematical modeling. In the FE WL sustaining role, this takes the form of assisting with troubleshooting by analyzing NMR measurements, providing input to electrical and mechanical design based on physical principles, and working on data science projects based on the physics of operation and failure of wireline equipment. The Physicist assists in planning, conducting, and evaluating approaches to meet project objectives in a timely fashion.
Detailed qualifications
- Ph.D. degree in electrical engineering, physics, earth sciences, or related fields preferably with thesis work related to experimental NMR for earth subsurface exploration; Master’s degree will be considered
- Solid programming/software skills and practice of machine learning are preferred
- Excellent problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
Engineering physicist for nuclear magnetic resonance R&D in Well Construction
Qualifications or Experience: PhD or equivalent preferred; Master’s will be considered
Date of Start: Immediate
Job Description
The Physicist is responsible for providing engineering solutions for the development or improvement of techniques, procedures and products using analysis and experiments based on principles of physics and mathematical modeling. In the Well Construction engineering R&D role, the tasks include designing and developing new sensors, analyzing NMR measurements on those sensors, providing input to electrical and mechanical design based on physical principles, and working on data science projects based on the physics of operation toward subsurface exploration. The Physicist assists in planning, conducting, and evaluating experiments to meet project objectives in a timely fashion.
Detailed qualifications
- Ph.D. degree in electrical engineering, physics, earth sciences, or related fields preferably with thesis work related to experimental NMR for earth subsurface exploration
- Solid programming/software skills and practice of machine learning are preferred
- Excellent problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
R & D scientists with electromagnetism (EM) expertise
Computational EM for the Modeling and Interpretation Group
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
Schlumberger’s Modeling and Interpretation (M & I) group is seeking applicants for a research scientist position in computational electromagnetics, effective immediately. The individual will work in a team of scientists to develop and implement new modeling and inversion applications of electromagnetic (EM) measurements for subsurface characterization.
Applied research projects are carried out to develop new technologies for application in the energy sector. The M&I department leverages state of the art computational sciences combined with data science and deep learning methodologies to develop solutions to complex interpretation problems pertaining to subsurface multi-physics multi-scale sensor measurements. Domain expertise and extensive measurement datasets are leveraged along with HPC infrastructure available locally and on the cloud.
While the initial project concerns electromagnetic wellbore measurement data and their interpretation, the successful candidate will be encouraged in the future to expand their horizons and skills to tackle the upcoming wave of technical challenges related to the decarbonization and new energy sectors.
Detailed qualifications
- Ph.D. degree in electrical engineering, physics, applied math, earth sciences, or related fields preferably with thesis work related to computational electromagnetics and/or inversion of EM remote sensing data
- Solid programming/software skills and practice of machine learning are preferred
- Excellent problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
Experimental physicist with EM experience
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
The successful candidate will work with engineers and scientists to design, develop, and sustain hardware and software relating to EM methods for earth subsurface evaluation. Tasks will include implementation of new instrumentation to increase automation for both lab and shop tests. The candidate is expected to have a Ph.D. or equivalent credential. He or she should have a strong background in the design and verification of earth subsurface sensors including transmit and receive characteristics of antennas; shielding and calibration methods, related acquisition electronics, and design of experiments (DoE) methods.
Detailed qualifications
- Ph.D. degree in electrical engineering, physics, earth sciences, or related fields preferably with thesis work related to experimental electromagnetics and/or inversion of EM remote sensing data
- Solid programming/software skills and practice of machine learning are preferred
- Excellent problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
R & D scientist with nuclear physics modeling expertise
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
The Modeling and Interpretation department is seeking applicants for a Research Scientist position in the domain of nuclear physics and computational modeling. Nuclear measurements are among the most important technologies for characterization of the Earth’s subsurface. Building on many decades of expertise, Schlumberger develops the hardware and algorithms that deliver in-situ measurements deep underground and provide answers for the ongoing energy transition.
As a member of our multidisciplinary team, you will have a key role in developing and implementing new models and integrated algorithms that use fundamental science to solve real-world problems. You will provide the physical understanding and computing skills to take advantage of nuclear measurements within datasets that span diverse spatial scales and sensing techniques. Our projects serve the technical challenges and market needs for the emerging sectors of decarbonization and the energy transition, including Carbon Capture and Storage and subsurface characterization for renewables. Scientists are encouraged to publish research results, present work at conferences, and file for patent protection.
Scientists in the M&I department combine expertise in the fields of nuclear, acoustics, EM, and geophysical measurements, along with state-of-the-art computational sciences and deep learning. Extensive datasets and computing infrastructure are available on the premises and in the cloud.
Detailed Qualifications
- Ph.D. degree in Nuclear Engineering, Physics, or related fields, with courses and preferably thesis work related to modeling and analysis of nuclear data.
- Strong interest in physical simulations and interpretation of data. You thrive on the combination of science and computing to extract insights.
- Fluency with programming languages such as Python, Matlab, C++, or similar. Experience with machine learning and data science is an advantage but is not required.
- Demonstrated problem-solving, organizational, and communication skills. You are enthusiastic and work well in a team of scientists and engineers.
- Candidates must be able to legally work and reside in the US.
R & D scientist for an Interpretation Development Engineer (IDE) position with Petrophysics expertise
Qualifications or Experience: PhD or equivalent
Date of Start: Immediate
Job Description
Schlumberger has a job opening for Interpretation Development Engineers (IDE) in Petrophysics. The IDE develops and maintains new or improved interpretation methods, algorithms, and workflows using a mix of applied mathematics expertise, software expertise and Petro-technical expertise. He/she will contribute to the development and support of the corresponding interpretation software applications and platforms and needs to work seamlessly with a multidisciplinary team. The candidate will provide regular updates of project progress to various internal and external clients. Further responsibilities include the following:
- Participate to the scoping of new interpretation products: contribute in particular to the definition of algorithms, workflows and software requirements. Evaluate feasibility of new or improved interpretation methods, algorithms and products. Participate to the specification of the corresponding software product
- Specify, develop, validate and maintain interpretation methods, algorithms, workflows and products as per project plan and technical objectives. Build prototypes, products and systems suitable to validate the applicability, robustness and performance of given
interpretation methods, algorithms, workflows and products. Participate to the implementation, testing and sustaining of the corresponding commercial software - Define testing procedures for interpretation methods, algorithms, workflows and products. Carry out tests as per testing procedure and document test results and/or coordinate with others to perform tests
- Contribute technical content for inclusion in the interpretation product documentation and training material
- Provide advanced methodology and algorithmic support for commercial products and services
- Investigate and address – in a timely fashion – issues reported on algorithms, methods, and corresponding software
- Investigate and propose new development areas in the Interpretation Engineering domains - for instance new or alternative techniques for data analysis, data visualization or inversion
Detailed Qualifications
- Ph.D. in Science, Applied Mathematics, Geophysics, or Petroleum Engineering (or equivalent)
- Strong working knowledge of applied math methods
- Extensive experience in advanced inversion algorithms, uncertainty analysis, and scientific programming (e.g.: C/C++, Python, MATLAB, etc.)
- Knowledge and experience in Petrophysics and/or Geophysics of the Oil & Gas industry is a plus
- Knowledge of sensor technologies, data science, statistical analysis, machine learning, and cloud computing is highly desirable
Geologist R & D scientist for Subsurface Applications
Qualifications or Experience: PhD or MSc, or equivalent
Date of Start: Immediate
Job Description
Schlumberger is looking for enthusiastic PhD or MS candidate with experience in geology characterization with strong laboratory experience to join our international team of scientists and engineers. The successful candidate will be trained on how to interpret log responses, drilling parameters, and cuttings descriptions for the purpose of formation evaluation in either surface reservoirs or carbon storage sites. Responsibilities will also include using machine learning and image analysis techniques to provide integrated geological models by working with other scientists in the computational domain. Successful candidates should have a strong background in stratigraphy and experimental methods, with a particular focus in two areas:
- Advanced laboratories techniques to characterize geological and petrophysical properties of rock and minerals at various scales and pressure-temperature conditions (e.g., core analysis, XRD, FTIR, SEM-EDX, FIB, ICP-MS, and more), along with good rock identification skills. Knowledge of Earth formation evaluation methods using subsurface (wellbore) and surface measurements will also be considered.
- Experience in setting up experimental methods for the purpose of characterizing the properties of carbon storage sites
Detailed Qualifications
- An MS or PhD student with some experience in geology, or related fields with preferably thesis work related to CCUS methods. Exposure to modern machine learning techniques is plus.
- Strong experience in laboratories techniques to characterize properties of rock and minerals
- Solid lab experiment design and execution experience
- Demonstrated problem-solving, organizational and communication skills
- Enthusiasm and ability to work within a team of scientists and engineers
- Candidates must be able to legally work and reside in the US
