Scientific Computing Researcher
Schlumberger Limited
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Benefits offered by this job
Job summary
Schlumberger-Doll Research in Cambridge, MA seeks a Scientific Computing Researcher to join a multidisciplinary team near MIT. The role blends physics-based modeling, inversion, ML, and advanced data analytics to tackle energy challenges with impact across subsurface assets.
The successful candidate will develop and benchmark algorithms, collaborate across geoscience, reservoir engineering, data science, and software development, and publish findings in leading journals.
Qualifications
- Advanced degree in a quantitative field with strong math background.
- Experience applying mathematical methods to physical sciences.
- Proficiency in scientific programming and data analysis.
- Experience with ML and AI methods; exposure to agentic AI is desirable.
Responsibilities
- Collaborate with researchers and engineers to identify technical solutions.
- Develop, test, and benchmark physics-based algorithms.
- Assess accuracy and uncertainty of measurements and inversion results.
- Integrate multiple physics domains and data sources for improved estimations.
- Design prototypes for validation and deployment to engineering teams.
- Publish research findings in leading journals and present at forums.
Skills
Education
Job description
Schlumberger-Doll Research (SDR), SLB's global research and innovation center, is seeking a Scientific Computing Researcher to join a multidisciplinary team of scientists in Cambridge, Massachusetts, adjacent to the MIT campus.
This is an exciting opportunity to contribute to breakthrough research with direct impact on some of the world's most pressing energy challenges. Working at the intersection of science, engineering, and advanced computing, you will help develop next-generation solutions that enable cleaner, more efficient, and more sustainable energy systems.
The position is part of the Geosciences Department and focuses on advancing our capabilities in developing innovative computational solutions that enhance our understanding of geological systems, maximize the value of physical measurements, and improve operational efficiency in the characterization and management of subsurface assets.
- Partner with researchers, engineers, and domain experts to identify and develop technical solutions for real-world challenges.
- Develop, test, and benchmark algorithms grounded in physical principles to interpret measurements and infer subsurface properties.
- Assess the quality, reliability, and uncertainty of measurements and inversion-derived results.
- Identify opportunities to improve estimation accuracy through the integration of multiple physics domains and data sources.
- Design and develop prototype solutions for validation, deployment, and transfer to engineering teams.
- Collaborate with multidisciplinary teams across geoscience, reservoir engineering, formation evaluation, data science, and software development.
- Investigate and develop agentic AI solutions to assist data acquisition engineers in the planning and execution of field operations.
- Publish research findings in leading scientific journals and present results at internal and external technical forums.
- Support the transition of research innovations into practical applications and operational deployment.
The successful candidate will collaborate closely with scientists, engineers, and domain experts to develop solutions combining physics-based modeling, inversion techniques, machine learning, and advanced data analytics to address critical industry challenges. As research priorities and technologies evolve, the scope of the role will expand to support emerging projects and strategic initiatives across SLB's energy portfolio.
- Master's degree or PhD in Applied Mathematics, Computational Science, Physics, Engineering, or a related quantitative discipline.
- Strong foundation in applied mathematics, uncertainty quantification, statistical inference, signal processing, and data analysis.
- Demonstrated experience applying mathematical or computational methods to solve problems in one or more physical science domains.
- Proficiency in scientific programming using languages such as Python, C, or C++, along with associated scientific computing libraries.
- Experience with machine learning and artificial intelligence methods; exposure to agentic AI frameworks and applications is highly desirable.
- Strong analytical thinking and problem-solving capabilities.
- Ability to work effectively in a multicultural and multidisciplinary research environment.
- Excellent written and verbal communication skills.
- Experience developing physics-informed or hybrid physics-AI solutions.
- Familiarity with inverse problems, optimization methods, and uncertainty quantification techniques.
- Experience working with geoscience, energy, or subsurface-related applications.
- Track record of scientific publications, technical presentations, or applied research contributions.
The compensation and benefits for this role are listed in compliance with applicable law. We are committed to offering fair and competitive pay aligned with each candidate's skills, experience, and qualifications, within the designated salary range for the role. Please note that the listed compensation and benefits apply only to successful candidates hired onto a local United States payroll. The anticipated annual salary range for this position is $105,280 - $213,800. SLB offers a comprehensive total rewards package, which includes variable pay, health care coverage, retirement plan, protection programs, paid time off, and various training opportunities.
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Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Health, vision, and dental insurance for you and your dependents available from day one.
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.
SLB 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, or other characteristics protected by law.
We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you need such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.
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